Rongfei Lu1, 2, Zhiyang Liu1, Peng Fang1, Guangyi Chen1, Feng Sun1, Yongjian Fan1, Yijun Zhou1, Tong Zhou1*
...s and enumerates several algorithms to screen reference genes to normalize the RT-qPCR data. Additionally, several possible improvements in the selection of reference genes are discussed....
Koksal Karadas1, Muhammad Tariq2, Mohammad Masood Tariq3* and Ecevit Eyduran4
...y in CART and both CHAID algorithms. According to the criteria, the significance order in the predictive accuracy for lactation milk yield was recorded as CHAID=Exhaustive CHAID >ANN>GLM >CART. The decision tree results of CHAID algorithm displayed that ewe age, number of milking and lactation length for lactation milk yield should be taken into account and lactation lengths for Akkaraman sheep milked more than 2 a ...
Mazhir Nadeem Ishaq, Li Cui Xia, Rukhsana Rasheed, Zeeshan Ahmad, Muhammad Abdullah
...core Matching (PSM) with algorithm of near neighbor (NN) and interval matching. The impact of cooperative membership on small milk producers was evaluated by calculating the values of average treatment effects (ATE) on eight performance indicators. The outcomes of study disclosed that cooperative members have higher farm income, more milk production, reared improved cattle breeds, get better access to veterinarian services and used more nutritious fodder (sila...
Ecevit Eyduran1, Daniel Zaborski2*, Abdul Waheed3, Senol Celik4, Koksal Karadas5 and Wilhelm Grzesiak2
...udy was to establish the algorithm with the best predictive capability among classification and regression trees (CART), chi-square automatic interaction detector (CHAID), radial basis function (RBF) networks and multilayer perceptrons with one (MLP1) and two (MLP2) hidden layers in body weight (BW) prediction from selected body measurements in the indigenous Beetal goat of Pakistan. Moreover, the results obtained with the data mining ...
Yusuf Koc1, Ecevit Eyduran1* and Omer Akbulut2
...as determined that CHAID algorithm constructed more suitable tree structures, biologically in comparison to Exhaustive CHAID and CART data mining algorithms. Consequently, it is recommended that the biological suitability of the constructed tree structure should be taken account together with estimating model quality criteria.
...
Predicting Honey Production using Data Mining and Artificial Neural Network Algorithms in Apiculture
Koksal Karadas1* and Ibrahim Hakki Kadırhanogullari2
...s of several data mining algorithms (CART, CHAID, Exhaustive CHAID and MARS) and artificial neural network algorithm (Multilayer Perceptron, MLP) were evaluated comparatively. Several factors thought as independent variables in the survey were age of beekeeper (AB), education level (EL), number of full beehives (NFB), bee race (BR), the time spent in plateau (TSP), feed of autumn and spring (FAS), working period in apicultur...
Ali Karabacak1, Senol Celik2, Adile Tatliyer3, Ismail Keskin1, Yakup Erdal Erturk4, Ecevit Eyduran5, Yasir Javed6 and Mohammad Masood Tariq7,*
...nce of three data mining algorithms viz., CHAID, Exhaustive CHAID, and CART implemented in the estimation of cold carcass weight (CCW) and body weight (BW) from several body measurements (withers height (WH), chest depth (CD), body length (BL), hearth girth (HG) and leg circumference (LC)) measured from five sheep breeds (Akkaraman (9), Dağlıç (10), Kivircik (10), Merinos (10) and Karacabey Merino (8)) reared in Konya province condition...
İbrahim Aytekin1,*, Ecevit Eyduran2, Koksal Karadas3, Rifat Akşahan4 and İsmail Keskin1
...lines (MARS) data mining algorithm as a non-parametric regression technique was implemented. To measure predictive accuracy of MARS, model evaluation criteria such as coefficient of determination (R2), adjusted coefficient of determination (R2ADJ), SDRATIO andPearson coefficient (r) between actual and predicted values in fattening final live weight were calculated. To reveal the highest predictive ability in the MARS...
Yakut Gevrekçi* and Çiğdem Takma
...action Detection (CHAID) algorithms. A total of 1912 EP records of layers which hatched at four different periods were collected from a commercial flock in west of Turkey. The analysis performed with cathegorical (cage and line) and continuous (hatch, age at sexual maturity and body weight of sexual maturity) predictors and a continuous response variable (EP). The Spearman’s rho correlation coefficients among all predictor variables were significantly ch...
Senol Celik1,* and Orhan Yilmaz2
...y measurements, the CART algorithm proposed that withers height (WH), abdominal width (AW), rump height (RH) and chest depth (CD) can significant effect the body weight. Quantitatively, it was identified that values of WH > 62.500 cm and RH > 67.500 cm can positively correlated with the highest body weights. On the other hands, MARS model’s finding showed that the dogs which had the values of WH > 51 cm can be expected to have the highest body w...
Yakup Erdal Erturk1, Adem Aksoy2 and Mohammad Masood Tariq3,*
...dictive accuracy of MARS algorithm was evaluated using coefficient of determination (R2), Standard Deviation Ratio (SDRATIO), Generalized Cross Validation (GCV) and Pearson`s correlation (r) between actual and predicted AFFLW. Pearson`s correlation coefficients between actual and predicted AFFLW for male and female crossbred cattle were very strongly estimated (r~1.00, P<2.2e-16). Results of MARS, giving a very good fit for 2nd
Yakup Erdal Ertürk
...e models based upon MARS algorithm explained virtually all of variability in the final fattening weight (FFW) for each gender when model assessment criteria (viz. R2, SDRATIO, GCV and Pearson correlation coefficient between real and estimated scores in the final fattening weight) in the current study were considered. SDRATIO estimates of the MARS models for male and female domestic beef cattle were close to 0.05. The est...
Adem Aksoy1, Yakup Erdal Ertürk2, Selim Erdoğan3, Ecevit Eyduran3 andMohammad Masood Tariq4,*
...AID and MARS data mining algorithms, which are more flexible compared to classical approaches. Several potential predictors in the survey were age of enterprise, province of enterprise (Agri, Kars and Erzurum), educational level, membership status of enterprise to an association of beekeepers (member and nonmember), other activities except for beekeeping (yes and no), number of full beehives, bee race (Caucasian, Carniolan, Italian and Crossbred), and frequenc...
Adem Aksoy1, Yakup Erdal Ertürk2, Ecevit Eyduran3 and Mohammad Masood Tariq4,*
...tical evaluation of MARS algorithm, the package “earth” of the R software was employed based on the smallest GCV value. In the CHAID algorithm, minimum enterprise numbers in parent and child nodes were set at 4 and 2 for ensuring strong predictive accuracy with the Bonferroni adjustment. MARS algorithm gave a very good performance in the prediction of final fattening weight acc...
Gokhan Sahin1, Ecevit Eyduran2,*, Mete Turkoglu3 and Fatma Sahin2
...lines (MARS) data mining algorithm for multiple responses (Hd and Hm) with the support of R software program and the utility prediction equation was aimed to improve for further biodiversity investigations. To determine the predictive quality of the MARS algorithm, goodness of fit criteria viz. coefficient of determination (0.994 and 0.996 R2 for Hd and Hm), Generalized Cross Validation (0.000038 and 0.0240...
New Diallel Cross Designs Through Resolvable Balanced Incomplete Block Designs for Field Experiments
Ijaz Iqbal1, Maqsooda Parveen1 and Zafar Mahmood2*
...omplete block design. An algorithm is presented to construct diallel cross design through resolvable balanced incomplete block design, which is established via cyclic shifts. Construction of diallel cross designs using the proposed approach is illustrated with an example. A list of efficient diallel cross design under resolvable balanced incomplete block design designs for 4≤v≤18 and 2≤ k ≤8 is advocate here. ...
Adem Aksoy1, Yakup Erdal Ertürk2, Ecevit Eyduran3 and Mohammad Masood Tariq4,*
...lines (MARS) data mining algorithms in addition to least squares method were scrutinized comparatively in the prediction of weight at the end of grazing period. The best statistical approach was selected based on goodness of fit criteria viz. determination coefficient (R2), adjusted coefficient of determination (R2ADJ), and Pearson correlation coefficient between the actual and the predicted values in the response trait ...
Daniel Zaborski,1,* Muhammad Ali,2 Ecevit Eyduran,3 Wilhelm Grzesiak,1 Mohammad Masood Tariq,2 Ferhat Abbas,2 Abdul Waheed4 and Cem Tirink5
...ng different data mining algorithms (artificial neural networks - ANN, classification and regression trees - CART, chi-square automatic interaction detector - CHAID and multivariate adaptive regression splines - MARS) and indicating the most influential predictors of these traits. A total of 382 reproduction records including three predictors (month of lambing - MOL, age at first lambing - AFL and lambing weight - LW) and seven dependent (output) variables (se...
Samiah Shahid1,Jawaria Shaheen1, Wajeehah Shahid2, M. Waheed Akhtar1,3 and Saima Sadaf1,*
...ight samples. The geNorm algorithm and comparative delta Cq method were used for selection of suitable reference gene out of the three candidate genes. The validation studies were, thereafter, performed on 112 samples including 87 patients and 25 normal healthy controls. The geNorm algorithm exhibited circulating mir-16-5p with the highest expression stability demonstrated by geNorm M value of 0.418. The comparative delta Cq...
Tianlong Cai1, Falk Huettmann2, Kisup Lee3 and Yumin Guo1,*
...achine learning modeling algorithm of maximum entropy (MaxEnt) weas applied and evaluated with Stochastic Gradient Boosting and Random Forests based on 115 every year used occurrence points (1990-2013) and 14 environmental layers as predictors. Results show that the Songnen Plain and Korea Peninsula are the most important stopover habitats. Four other major areas are also suitable for stopover: (i) the coastal area of the Bohai Sea, (ii) the Three Rivers Plain...
Senol Celik
...trees (CART) data mining algorithms in predicting live body weight as a continuous response variable by means of morphological measurements i.e. live body weight (LBW), body length (BL), withers height (WH), rump height (RH), belly girth (BG) and chest girth (CG) as continuous predictors from 130 Pakistan goats. Also, sex factor was included as a possible nominal predictor in the current study. To measure predictive performances of the tested
Faleye Temitope Oluwasegun Cephas1,2*, Adewumi Moses Olubusuyi1, Olayinka Olaitan Titilola3 and Adeniji Johnson Adekunle1,3
...ended cell-culture-based algorithm requires enterovirus (EV) isolates to produce reproducible cytopathic effect (R-CPE) in RD and/or L20b cell lines. Samples with non-reproducible CPE (NR-CPE) are considered negative for EVs. We investigated whether there could be EVs lurking in samples with NR-CPE. Fifty-nine cell culture supernatants (CCS) (collected between 2016 and 2017) from RD and L20b cell-culture-tubes with NR-CPE, were analyzed. The tubes had been pre...
Faheem Aslam1*, Aneel Salman1 and Inayatullah Jan2
...several machine learning algorithms to improve time series prediction accuracy. The purpose of this study is to develop a precise wheat production model using artificial neural networks (ANN). A total of 71 years’ wheat production data from 1948 to 2018 is divided into training data and test data. The model is trained by using 53 years’ data and forecasts the future wheat production for the remaining 14 years. There are 16 indicators used as input ...
Mustafa Koyun1*and Şenol Çelik2
...y using some data mining algorithms. During this study, the fish weight (g) and length (mm) of 122 fish were measured. In addition, the distribution of M. heteranchorus and U. pictorum in each lamella of the gills and the distribution of D. spathaceum in the right and left eye lenses were evaluated. Two different algorithms (MARS and CHAID) were examined to evaluate the total fish weight, fish size, sex,...
Sahib Khan1, Muneeza Wahid2, Muhammad Abeer Irfan1, Muhammad Naeem3, Asma Gul4, Muhammad Haseeb Zafar2
ROW LEVEL IMAGE FORGERY DETECTION TECHNIQUE USING EMBEDDED DIGITAL SIGNATURES
.... Using message digest 5 algorithm, digital signature is generated from selected pixels of each row using selected pixels for and embedded in the least significant bits of selected pixel of the corre- sponding row of digital image. The proposed technique is powerful enough to detect different image manipulations. The results show that it can successfully detect one least significant bit alteration made in any pixel of digital image....
Nasir Ahmad1*, Jehad Ali2, Khalil Khan3, Muhammad Naeem4, Usman Ali5
ROBUST MULTIMODAL FACE RECOGNITION WITH PRE-PROCESSED KINECT RGB-D IMAGES
...ply the face recognition algorithm.
Experimental results reveal that the accuracy of face recognition can be increased by combining RGB and depth
images and applying pre-processing on depth maps which mitigate the effects of covariates such as holes and noise
in the depth maps. ...
Experimental results reveal that the accuracy of face recognition can be increased by combining RGB and depth
images and applying pre-processing on depth maps which mitigate the effects of covariates such as holes and noise
in the depth maps. ...
Zahooruddin1*, Muhammad Altaf1, Ayaz Ahmad1, Farooq Alam1
GRADIENT ASCENT INDEPENDENT COMPONENT ANALYSIS ALGORITHM FOR TELECOMMUNICATION SIGNALS
...Component Analysis (ICA) algorithm is normallused for un-mixing and feature extraction of the fixed
input block lengths. In case of varying block lengths re-adjustment of the maximum number of iterations and the
step size parameter is required. In this paper, we introduced an Adaptive Step size Gradient Ascent ICA (AS-GAICA)
technique for varying block length that can also controls the maximum number of iterations adaptively. The performan...
input block lengths. In case of varying block lengths re-adjustment of the maximum number of iterations and the
step size parameter is required. In this paper, we introduced an Adaptive Step size Gradient Ascent ICA (AS-GAICA)
technique for varying block length that can also controls the maximum number of iterations adaptively. The performan...
Waqas Javaid1*, Adnan Tariq1, Iftikhar Hussain2, Sahar Noor2
AN EVOLUTIONARY APPROACH FOR CMS DESIGN
...me trend an evolutionary algorithm has been developed
during this research by combining Standard Genetic Algorithm with a very effective Local Search Heuristic (LSH).
The results show that it is efficient both in terms accuracy and speed of convergence (CPU time). ...
during this research by combining Standard Genetic Algorithm with a very effective Local Search Heuristic (LSH).
The results show that it is efficient both in terms accuracy and speed of convergence (CPU time). ...
Muhammad Naeem1*, Sahib Khan2, Nasir Ahmad3
A DISTRIBUTED GENETIC ALGORITM AND A-PRIORI ALGORITHM FOR THE HUB AND FACILITY LOCATION PROBLEMS
... influential data mining algorithm employed in market basket analysis to understand the purchase
behavior of buyers. It has many other applications. In this study, we combine a-priori with a genetic algorithm (GA)
to solve two classical NP-hard location problems namely the Un-capacitated Single Allocation Problem (USAHLP)
and Un-capacitated Facility Location Problem (UFLP). A distributed model of the pro...
behavior of buyers. It has many other applications. In this study, we combine a-priori with a genetic algorithm (GA)
to solve two classical NP-hard location problems namely the Un-capacitated Single Allocation Problem (USAHLP)
and Un-capacitated Facility Location Problem (UFLP). A distributed model of the pro...
Asif Ali Khan*, Laiq Hassan*, Salim Ullah*
OPEN MP-BASED PARALLEL AND SCALABLE GENETIC SEQUENCE ALIGNMENT
...-Waterman (SW), an exact algorithm for local alignment, is the most
accurate of them all. However, the space and time complexity of the SW algorithm is quadratic. It is imperative to
use parallelism and distributed computing techniques in order to speed up this process. In this paper, we discuss and
evaluate an OpenMP based implementation of SW algorithm. All the exper...
accurate of them all. However, the space and time complexity of the SW algorithm is quadratic. It is imperative to
use parallelism and distributed computing techniques in order to speed up this process. In this paper, we discuss and
evaluate an OpenMP based implementation of SW algorithm. All the exper...
Mujahid Badshah, Saeed Badshah, Sakhi Jan
HYDRODYNAMIC DESIGN OF TIDAL CURRENT TURBINE AND THE EFFECT OF SOLIDITY ON PERFORMANCE
...tern search optimization algorithm embedded in the National Renewable Energy Laboratory (NREL) tool HARP_Opt was used to design a horizontal axis tidal current turbine (HATCT). The numerical method was validated with the experimental data and a good agreement was achieved. The designed turbine has a 3 bladed rotor of 4 meters diameter and rated mechanical power of 20 kW. Performance metrics of the rotor for steady and uniform flow was simulated at flow speeds ...
Mujahid Badshah*1, Saeed Badshah1, Sakhi Jan1
HYDRODYNAMIC DESIGN OF TIDAL CURRENT TURBINE AND THE EFFECT OF SOLIDITY ON PERFORMANCE
...tern search optimization algorithm embedded
in the National Renewable Energy Laboratory (NREL) tool HARP_Opt was used to design a horizontal axis tidal
current turbine (HATCT). The numerical method was validated with the experimental data and a good agreement
was achieved. The designed turbine has a 3 bladed rotor of 4 meters diameter and rated mechanical power of 20
kW. Performance metrics of the rotor for steady ...
Qazi Salman Khalid1, Muhammad Abas1, Mudassar Rauf2, Mirza Jahanzaib2, Shahid Maqsood1
HYBRID PARTICLE SWARM ALGORITHM FOR SCHEDULING IN CELLULAR MANUFACTURING SYSTEM- A CASE STUDY
...swarm optimization (PSO) algorithm is proposed to achieve an optimize sequence. The PSO is integrated with NEH algorithm to achieve an optimal sequence faster. A mathematical model is presented to evaluate two conflicting performance measures; minimization of work in process (WIP) and maximization of average machine cell utilization. Implementation of proposed algorithm had increased the u...
Laiq Khan1, Sidra Mumtaz2, Kamran Javed3, S.W. Shah4, M.I. Khan Babar5, S.R. Akbar6
GENERATORS MAINTENANCE SCHEDULING USING HARMONY SEARCH ALGORITHM
...sic-based harmony search algorithm is a relatively new meta-heuristic technique. It is used to solve multi-objective optimization problems. Generators maintenance schedules (GMS) play the most significant role for the economical and reliable operation of a power production system. This paper presents the application of harmony search (HS) algorithm for solving generators maintenance scheduling problem. HS
Faizullah Mahar1, Syed Saad Azhar Ali1, Abid Karim1
DESIGN OF FIXED ORDER ROBUST CONTROLLER USING H∞ -NORM AND EVOLUTIONARY TECHNIQUES: COMPARISONS AND PERFORMANCE ANALYSIS
...iques (i.e. genetic algorithm and immune algorithm) for the designing of a low, fixed order robust controller. To check the effectiveness of the proposed approach, resulting controller parameters are evaluated for performance analysis via extensive simulations. Simulation results and performance comparisons demonstrate the efficiency of proposed approaches.
...
Kadir Karakuş1, Turgut Aygün2, Şenol Çelik3, Mohammad Masood Tariq4*, Muhammad Ali4, Majed Rafeeq4 and Farhat Abbas Bukhari4
...f lambs. Purpose of MARS algorithm having very high predictive precision in the prediction of LW from body features may put onward a new view point for 39 lambs breeders.
...
Saima Yaqub1, Tahir Yaqub1*, Muhammad Zubair Shabbir2, Asif Nadeem3, Aziz-Ul-Rahman1, Muhammad Furqan Shahid1, Zarfishan Tahir4 and Nadia Mukhtar4
...esistance interpretation algorithm, one major (M46L) and two accessory (N88D, L89V) PIs mutations in the protease region while four NRTI (D67T, K70R/Q, M184V and T215F) and four NNRTI (V108T, E138A, V179I and Y181C) mutations in the reverse transcriptase region were observed. The present study concludes circulation of multiple subtypes of HIV-1 among IDUs and a continuous disease surveillance coupled with delineation of disease risk factors may provide a cruci...
Yasin Altay1, Saim Boztepe2, Ecevit Eyduran3, İsmail Keskin2, Mohammad Masood Tariq4*, Farhat Abbas Bukhari4 and Irshad Ali4
...ion Detector) tree-based algorithm implemented to construct a regression tree diagram was specified based on Bonferroni adjustment within the scope of the prediction of wool fineness as a response variable. Also, Multivariate Adaptive Regression Splines (MARS) was implemented for the WF prediction. In the prediction of wool fineness (WF), sex, dam age (DA), birth weight (BW), birth type (BT), live body weight (LBW), greasy fleece weight (GFW), staple length (S...
Abdul Hafeez1*, Akhtar Nawaz Khan2 and Zahid Ullah3
...easing complexity in the algorithms and the demands of growing data in biomedical applications both in dimension as well as in throughput. Understanding these approaches can help the biomedical community to shift batch-mode processing from cluster-based machines to real-time processing on low-end machines or smartphones in order to help the decision-makers and stack holders for early disease detection.
...
Humza Sami1, Mahnoor Sagheer1, Muhammad Amir Altaf1, Javaid Iqbal2 and Muhammad Zubair1,*
...h an open-source imaging algorithm, known as MERIT, to construct the image. To get the best results, images are constructed by comparing different algorithms and the varying number of channels. Simulated and measured results are successfully verified for different locations and sizes of conducting objects in a given imaging domain. The proposed system can be used for practical applications in biomedical imaging, especially f...
Celalettin Gözüaçık1, Ecevit Eyduran2 and Mohammad Masood Tariq3*
...tive Regression Splines) algorithms were implemented for describing egg laying behaviour of the alfalfa weevil and giving an idea on minimizing loss of the fields, in practice. In conclusion, a new scale developed by CHAID indicated that height of eggs was found higher as the plant height increased from Node 1 (plant height < 23 cm) to Node 10 (plant height > 74 cm), and in MARS, number of egg cluster...
Yuzhou Luo1, Ping Wang1, Kaijun Yu2*, Song Luo3 and Longjie Sun4
...erify a high performance algorithm to correlate the sleep stages with respective stages of breath sound signals. The algorithm was designed for breath sound signals and was tested with several all-night days data acquired with our laboratory-made sleep monitoring system. Furthermore, a commercial system was compared for validating the efficiency of our proposed algorithm. This work is the ...
Bushra Shaikh, Sadia Muniza Faraz*, Syed Riaz un Nabi Jafri, Syed Usman Ali
...chniques. A map matching algorithm based on matrix matching is being proposed in this paper. The localization of robot is determined by the path acquired during the random maneuvering on the grid based maze, whereas, the shortest path to the target position is determined by estimating x and y coordinates. The algorithm interprets the map of the environment, expressed by grid based model and generates an optimal or near optim...
Farhat Iqbal1, Abdul Waheed2*, Zil-e-Huma3 and Asim Faraz2
...popular machine learning algorithms to model and predict the body weight through various body measurements of small ruminants. The regression tree, random forests, support vector machine and gradient boosting machine methods have been used to predict the live body weight (target variable) of the animal. The predictors (independent variables) included in the current study were sex of the animal, neck length, diagonal body length, head girth above eyes,shank cir...
Luis Daniel Jiménez Martínez1, Vicente Morales Garcia2, Carlos Alfonso Frias Quintana3, Alejandra del Carmen Castillo Collado1, Gloria Gertrudys Asencio Alcudia4, Carina Shianya Alvarez Villagomez4, Emyr Saul Peña Marín4,5, Bartolo Concha Frias1 and
Carlos Alfonso Alvarez-Gonzalez4
...r, geNorm and NormFinder algorithms. Based on our results we can conclude that in the three BestKeeper, NormFinder and geNorm algorithms, the most stable genes are ef1, followed by 18s rrna and actb where the gene stability will depend on specific tissue to analyze in tropical gar A. tropicus adults.
...
Amjad Ali1, Muhammad Amir2*, Bilal Ur Rehman2, Zafar Khan3 and Abid Munir1
...on of various encryption algorithms for ensuring protection of such biometric data. In fingerprinting, image processing techniques include: low-quality-fingerprint enhancement, normalization, binarization and thinning of fingerprint image followed by feature extraction. In this paper, a novel encryption method for minutiae based low-quality-fingerprint framework is proposed. The proposed encryption algorithm works through ad...
Murat Kulekçi1, Ecevit Eyduran2, Ayaz Yusuf Altın2 and Mohammad Masood Tariq3*
...n Splines (Bagging MARS) algorithms. To realize this purpose, a questionnaire form including several questions i.e. honey yield per beehive of enterprise, age of enterprise, educational level of enterprise, migratory status of enterprise (yes and no), other working area except for beekeeping (yes and no), number of full beehives and bee race (Caucasian and others), were elaborated. In MARS algorithm, no over-fitting problem ...
Alexander Tsybulsky1*, Tatyana Tabakaeva1, Anna Klimovich2, Michail Shchelkanov1, Eduard Kostetsky1, Maksim Aliev1, Anton Degtyarenko3
...nclusion. The diagnostic algorithm based on FeLV replicative activity analysis in animals with chronic leukaemia, as well as the state of the IFN system at phenotypic and genetic levels along with the analysis of the p53 and gadd45g gene expression can be recommended for the examination of cats with FeLV-induced leukaemia to predict disease dynamics.
Keywords | FeLV infection, leukaemia, haematological analysis, type I-II-III interferon, gene expressio...
Aasma Younas*, Ijaz Iqbal and Atif Akbar
...dy in which the computer algorithm MATLAB has been used for the purpose of constructing Balanced Crossover design. This design is directly applied to agriculture, as its give an example of wheat to explain the concept. Crossover Designs have been constructed for different values of treatments, blocks and periods using all possible cyclic shifts. In this article, a computer program has been introduced. This is an era of technology, no one has time to do laborio...
Muhammad Shaheen1* and Abdullah2
...not dealt in the K Means algorithm. This paper proposes a change in the K Means algorithm to accommodate the method for outlier detection on the basis of the threshold value. The threshold value of the outlier named as clus_span is computed by taking distance of each point from each other point and dividing it by the total number of points. All the points of a dataset that do not qualify the value of the minimum threshold ar...
Muhammad Islam1,4*, Farrukh Shehzad1, Muhammad Omar2, Abdul Qayyum3 and Rabia Siddiqui4
...ed machine learning (ML) algorithms using compound growth exponential regression models (CGREM) with linear regression models (LRM) to predict the wheat area, yield and population explosion. The historical data are collected from 1950 to 2020 and ML models are deployed using the 80% train and 20% test datasets. Various combinations of train test split have been applied to check the precisions of data partitions subset on the deployed models. ML model predict t...
Ansar Abbas1*, Muhammad Aman Ullah2, Abdul Waheed3 and Muhammad Asif4
... (10) were set for CHAID algorithm. The empirical results revealed that HL was the most significant predictor of live BW of Thalli sheep by using both methods. However, the comparative analysis shows that the CHAID algorithm performed well as compared to the MLR (CHAID vs. MLR: R2 % = 79.38 vs. 73.27; Adj-R2 %= 78.70 vs. 72.50; SD ratio=0.45 vs. 0.51; RMSE= 3.15 vs. 3.58; RAE= 0.12 vs. 0.14; MAD= 2.41 vs. 2.74; CV%=13.28 vs....
Farrukh Shehzad1, Muhammad Islam1,2*, Muhammad Omar3, Syed Ijaz Hussain Shah4, Rizwan Ahmed5 and Naeem Sohail6
...odified machine learning algorithms using multiple linear regression (MLR), decision tree regression (DTR) and random forest regression (RFR) for wheat productivity using 75% and 25% randomized partitions. The 26,430 field of wheat crop cut experiments (C.C.E) is taken from crop reporting service (CRS), Punjab for the years 2016-17 to 2019-2020. Three generated datasets (D2, D3 and D4) were used to optimize the model performance. The heat plot map shows very s...
Ehtesham Khan, Talha Ahmed, M. Irfan Anis* and Syed Ahsan Rehman
...oration of Deep Learning algorithm named Convolutional Neural Network (CNN) for monitoring of pest. IP102 and different internet sources are used to gather the pest dataset. And also, the usage of IOT for remotely monitoring of the sensors data....
Asad Ali1*, Khalid Javed1, Imran Zahoor1, Khalid Mahmood Anjum2, Numan Sharif1, Imtiaz Ahmad3 and Aftab Hussain Aftab3
.... A derivative free REML algorithm was used to estimate heritabilities and repeatabilities with software WOMBAT®. The overall least squares means ± standard error for LSB, LWB, LMWB, LSW, LWW, LMWW and LI were 1.19±0.03, 5.75±0.17 kg, 4.88±0.06 kg, 1.17±0.05, 20.77±0.91 kg, 17.87±0.57 kg, 330.69±20.48 days, respectively. The YOS had significant (p≤0.01) impact on LSB, LWB, LMWB, LWW and LMWW. Howev...
Li Tian1*, Chun Wang2, Hailiang Li2, Haitian Sun2 and Chang Wang3
...o optimize PSO, and CPSO algorithm is proposed. In the practical application of crop diseases and insect pests identification, CBPSO algorithm is obtained by binary operation of CPSO, and its performance and application are analyzed. The experimental results show that the classification accuracy of CBPSO-SVM algorithm is 98.22% and 97.78% respectively in gray spot disease and algal spot di...
Ghalib Nadeem* and Muhammad Irfan Anis
...efficacy of employing ML algorithms for accurate and timely disease identification. This ground-breaking fusion of ML techniques with bovine disease detection holds trans-formative potential, promising to elevate animal welfare standards, optimize dairy productivity, and usher in a new era of data-driven dairy management....
Lipigwe Lauya1*, Peace Nkiruka Okeke2, Nanma Tongnan Cosmas1 and Chukwudi Chizorom Ibeh1
...e diagnostic methods and algorithms for monitoring HIV-2, the possibility of dangerous genetic mutations and resurgence of super-strains, cross-reactivity of HIV types that interfere with accurate reporting of HIV-2 cases, and suboptimal/neglected treatment and care (S/NTC) for HIV-2 individuals. Additionally, gaps in surveillance infrastructure, health inequality in classifying HIV burdens based on HIV type, and deprived HIV-2 research and policy enforcement ...
Ke Sun, Guangwei Fan, Yujie Zhang, Ji Luo, Xiaobing Wu and Tao Pan*
...l threshold segmentation algorithm. The accuracy of the proposed method is evaluated and compared with two methods based on Otsu’s algorithm and iterative algorithm, respectively. The results show that the accuracy of the method based on the adaptive bimodal threshold segmentation algorithm is the highest (absolute error: 0.018±0.016) among ...
Riam Yousfe Muttair
... to be targeted, current algorithms and checkpoint inhibitors have been adopted to perfect preferences and specificities that address resistance mechanisms and immune-related adverse events. Advancing efficacy and safety profiles represents the core objective in the development of the new generation of inhibitors based on bi-specific antibodies, nanoparticle delivery systems, etc. The novel humanized next-generation checkpoint inhibitors demonstrate various an...
Mokammel Hossain Tito, Most Hoor E Jannat, Marzia Afrose, S.M. Jubayer Ahmed, Shah Md Maruf, Md. Arafat Hossain, Safiullah Samani, Ruksana Jahan Mira, Barshon Saha, Asraful Islam Jihad and Tonmoy Kumar Das
...ed machine learning (ML) algorithms to predict FMD outbreaks and assess attribute correlations. The dataset is taken from mendely with prevalence ranges from 4.8% to 72.1% in cattle. In this paper we have used total of five algorithms including Naïve Bayes, MLP (Multilayer Perceptron), SMO (Sequential Minimal Optimization), AdaBoostM1, and REP Tree. Each model evaluated using various criteria, such as Accuracy, Kappa st...
