Koksal Karadas1, Muhammad Tariq2, Mohammad Masood Tariq3* and Ecevit Eyduran4
...e statistical predictive accuracy of GLM (General Linear Model), CART (Classification and Regression Tree), CHAID (Chi-square Automatic Interaction Detector), Exhaustive CHAID, and a ANN type MLP (Multilayer Perceptron) in the prediction of lactation milk yield in sheep was measured comparatively by model assessment criteria, such as R2, R2ADJUSTED, SDRATIO, CV(%), RMSE, RAE, MAPE, MAD and Pearson correlation coeffic...
Kiran Afshan1*, Sarwat Jahan1 and Mazhar Qayyum2
...evaluated the diagnostic accuracy of commercially available bovine F. hepatica enzyme-linked immunosorbent assay (ELISA) for the detection of IgG against fascioliasis in sera of small ruminants. The result of current study indicated diagnostic accuracy of test 95.6%, while sensitivity and specificity of this assay for small ruminants was 97.83% (95% CI: 92.35% to 99.67%) and 93.75% (95% CI: 87.54% to 97.44%) respectiv...
Predicting Honey Production using Data Mining and Artificial Neural Network Algorithms in Apiculture
Koksal Karadas1* and Ibrahim Hakki Kadırhanogullari2
...ving the best predictive accuracy among all the algorithms might offer a good solution to beekeepers in describing interactions of significant independent variables.
... 
Mubashir Hussain1,Safdar Ali1, Muhammad Naveed Tahir1, Ghulam Abbas Shah1, Ijaz Ahmad2*, Muhammad Aqeel Sarwar3 and Sohail Latif4
...ser friendly with higher accuracy over seedling emergence method.
...
İbrahim Aytekin1,*, Ecevit Eyduran2, Koksal Karadas3, Rifat Akşahan4 and İsmail Keskin1
...d. 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 algorithm, numbers of terms and basis functions were set at 21 and 45 where order of inte...
Wang Jian1, Abdur Rehman2*, Noor Khan3, Wang Zhengjia4, Ji Peng-fei5, Xie Cong6, Muhammad Niamatullah Khan Babar7 and Raheel Saqib8
...a income. The prediction accuracy grade is good for all per capita income and rural households’ consumption except the educational consumption grade that is just qualified. Finally we can forecast the future development trend of rural households’ consumption structure and income level. By means of the positive analysis, the countermeasures and recommendations have been proposed to develop the rural economy and consumer market in Hebei Province.&nbs...
Saima Rani and Irum Raza*
COMPARISON OF TREND ANALYSIS AND DOUBLE EXPONENTIAL SMOOTHING METHODS FOR PRICE ESTIMATION OF MAJOR PULSES IN PAKISTAN
...l smoothing. Measures of accuracy (MAPE, MAD and MSD) were used as the model selection criteria that could best describe the trend of prices of major pulses such as gram, mash, masoor and mung during 1975-76 and 2009-10. Double exponential smoothing method was found to be pertinent for price estimation of major pulses in Pakistan because of smaller values of accuracy measures. Six-year's forecasts of prices of gram, mash, ma...
Sobia Naheed*, Irum Raza*, M. Zubair Anwar*, Nusrat Habib*, Naheed Zahra* and Sabeen Siddiqui*
FORECASTING AREA AND PRODUCTION OF BARLEY IN PUNJAB, PAKISTAN
...hosen by reason of three accuracy measures namely mean absolute deviation (MAD), mean absolute percentage error (MAPE), and mean squared deviation (MSD). The values of these
measures were lowest for the double exponential smoothing method, therefore, this method was selected for predicting barley production and area in Punjab from 2012 to 2016. Five years forecast for barley area in Punjab was 26.140,
25.360, 24.580, 23.800, 23.020...
Naheed Zahra*, Nadeem Akmal*, Sobia Naheed*, Nusrat Habib*, Sabeen Siddiqui* and Irum Raza*
TREND ANALYSIS OF RICE AREA AND YIELD IN PUNJAB
...sis of minimum errors of accuracy measure quadratic model was selected. The estimated results revealed that there is an increasing trend in the area and yield of rice in Punjab. The area of rice was 276800 ha in 2012 and would be 2934280 ha in 2016. Likewise results about yield indicated that it was -1 -1 2438kg ha in 2012 and would be 2678kg ha in 2016. This increasing trend will provide a great opportunity for rice export from the country....
Saleem Abid*, Anum Fatima*, Sobia Naheed*, Asrar Sarwar** and Muhammad Nisar Khan*
DOUBLE EXPONENTIAL FORECASTING MODEL FOR DATES PRODUCTION IN PAKISTAN
...2012-13 (32 years).Three accuracy measures were used for the selection of best fitted model. These accuracy measures are mean absolute percentage error (MAPE), mean absolute deviation (MAD) and mean squared deviation (MSD). Double exponential trend was located to be best fitted model among other five models (linear trend, quadratic trend , exponential growth , s-curve and moving average) for estimating predicted values of ar...
Abdur Rehman1*, Wang Jian2, Noor Khan3 and Raheel Saqib3
... ensures the competency, accuracy and decreases significantly the cost of market risk management. ...
Yakup Erdal Erturk1, Adem Aksoy2 and Mohammad Masood Tariq3,*
...ening period. Predictive 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 fi...
Niamatullah Kakar, Farhat Abbas, Muhammad Shafee and Tauseef Asmat*
Mehmet Aydın*
...al were recorded with an accuracy of 0.01 cm and 0.01 g, respectively. During the sampling period, a total of 5932 crab individuals belonging to five species were collected and measured. The minimum and the maximum“b” values of the length-weight relationship among these five species were estimated as 2.442 (for L. navigator) and 3.007 (for P. marmoratus), respectively. Growth was found as isometric for P. marmoratus...
Selçuk Kaplan
...animals can increase the accuracy of selection. From this point of view, validation of candidate gene markers for marker assisted selection is very important to increase genetic gains in breeding. Leptin is a 16 kDa protein which is highly expressed in adipose tissue. Leptin is one of the most significant candidate gene marker for MAS studies. Therefore, bubaline leptin gene exon 2, part of the intron 1 and intron 2 region were amplified and sequenced to ident...
Adem Aksoy1, Yakup Erdal Ertürk2, Ecevit Eyduran3 and Mohammad Masood Tariq4,*
...suring strong predictive accuracy with the Bonferroni adjustment. MARS algorithm gave a very good performance in the prediction of final fattening weight according to goodness of fit criteria i.e. R2 (0.983) and SDRATIO (0.114). Very strongly significant Pearson correlation coefficient (r=0.992) between observed and predicted FFW values in the MARS were found for the cultural beef cattle enterprises, respectively (P<0.01). The r...
Naseer Ahmed Abbasi1, Mian Noor Hussain Asghar Ali1*, Bilawal Abbasi2, Shakeel Ahmed Soomro1, Najeeb Ahmed Khan Nangraj1, Jam Ghulam Mustafa Sahto1 and Sajjad Ahmed Morio1
...(r=0.97) showed a higher accuracy with yields than those obtained with the parametric method (r=0.86). Furthermore, finally formed the suitability grade or suitability index. Besides a dominant suitability class, the fuzzy set method equally provides information on the degree of belonging of the land unit to each of the suitability classes discerned. The good results obtained by using the fuzzy set method are helpful further development and application of the ...
Senol Celik
...oduced better predictive accuracy in explaining the variability in LBW compared with others. MARS produced the best fit for 3rd interaction order on the basis of the smallest generalized cross validation (GCV). In the MARS algorithm, BL and CG were the predictors that had the highest relative importance (100%) in the prediction of live body weight and these two predictors could be considered as indirect selection criteria for breeding schemes. It could be sugg...
Xuefeng Cao1, Guangneng Peng1, Xiaobin Gu1, Changliang He1, Guizhou Yue2, Jun Shi3,* and Zhijun Zhong1,*
...ctively. To validate the accuracy of DARPM, 112 clinical samples and 97 clinical samples suspected of harboring CPV and CDV were tested. DARPM showed a 100% compliance rate with ordinary PCR and colloidal gold rapid detection methodology, while the coincidence rate for DARPM and the same method with DNA added was also 100%. Therefore, DARPM detects CPV and CDV without the need for pre-PCR nuclear acid extraction. Our results show that DARPM is a specific, sens...
Shanshan Cai1, Tianxiang Gao2, Binlun Yan3, Aiyi Zhu1 and Xiumei Zhang1,2,*
...inders the precision and accuracy of such assessment. The swimming crab, Portunus trituberculatus is a commercially important species in Chinese fishery industry. However the natural resources of swimming crabs are declining and enhancement programs are being conducted for resources restoration for decades. In this study, 524 female broodstock from 10 hatcheries and 547 recaptured crabs from 6 investigations were used to assess the proportion of release...
Faheem Aslam1*, Aneel Salman1 and Inayatullah Jan2
...e 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 variables for wheat production and top ten mo...
Hande Kucukonder1, Pinar Celebi Demirarslan1*, Sezai Alkan2 and Özgür Baris Bırgul3
...compared by MAPE (%) and accuracy rate (ρ) criteria in order to find out the most consistent growth model for female and male broiler chicks. The results indicate that Rolling-Grey Model (1,1) is more consistent than Von Bertalanffy, Gompertz and Logistic and can be used as an alternative to nonlinear regression models in growth analysis.
...
Doulat Khan1, Hamayun Khan1, Nazir Ahmad2, Muhammad Tarique Tunio3, Muhammad Tahir2, Muhammad Saleem Khan2 and Rifat Ullah Khan1*
...ncy prognostic value and accuracy of the PAG-ELISA test were 86.77%, 66.67%, 86.77%, 100% and 90%, respectively. Similarly, the current study indicated that in buffalo, average sensitivity, specificity, false pregnancy prognostic value, false non-pregnancy prognostic value and accuracy of the PAG-ELISA test were 62.22%, 74.6%, 62.22%, 88.57% and 76.67% respectively. The current study demonstrated that average sensitivity, sp...
Anwar Ali1*, Muhammad Irfan Ashraf2, Saeed Gulzar2 and Muhammad Akmal2
...o validated for checking accuracy of the model. The result can be used for estimation of the above ground biomass and carbon stocks in subtropical pine forests of the Khyber Pakhtunkhwa and other areas which represent similar ecological conditions. ...
Asmaa A. Darwish
...iagnostic and prognostic accuracy in these conditions. 80 barki lambs were divided into four groups control group (CG), pneumonic group (PG), arthritic group (AG) and enteric group (EG). Blood samples were collected from the four groups then haematologically, biochemically and statistically analyzed. A significant (P< 0.05) microcytic hypochromic anemia was observed in the PG and AG while, EG suffered from a macrocytic hyperchromic anemia. On contrast, a ne...
Xiuqing Hao1, Zhe Hong2, Huili Gao1, Fumin Tian1, Hongke Zhang3, Yu Zhou3, Yuming Guo3, Guang Yang1,* and Bingyao Chen1,*
...d 25.43% showed moderate accuracy. The Beihai and Shatian seabird communities had similar fixed kernel home range. Seabirds’ distribution largely overlapped with various vessels’ concentrated area, possibly due to abundant local fishery resources and forging behavior of seabirds. The MaxEnt model with the area under receiver operating curve (AUC) value of 0.957 for training data and 0.935 for test data showed reliable and accurate prediction. The d...
Nasir Ahmad1*, Jehad Ali2, Khalil Khan3, Muhammad Naeem4, Usman Ali5
ROBUST MULTIMODAL FACE RECOGNITION WITH PRE-PROCESSED KINECT RGB-D IMAGES
...ave tried to improve the accuracy of face recognition by combining 2D and 3D images to overcome
the problems of illumination, pose variation and occlusion. Although combining 2D with 3D have shown better results
when compared with 2D images only, however applicability of these methods is inadequate in practical implementations
due to high cost of 3D sensors, therefore we are using the low cost sensor Kinect acquired images. We do
fa...
the problems of illumination, pose variation and occlusion. Although combining 2D with 3D have shown better results
when compared with 2D images only, however applicability of these methods is inadequate in practical implementations
due to high cost of 3D sensors, therefore we are using the low cost sensor Kinect acquired images. We do
fa...
Waqas Javaid1*, Adnan Tariq1, Iftikhar Hussain2, Sahar Noor2
AN EVOLUTIONARY APPROACH FOR CMS DESIGN
... both in
terms of accuracy and computational effort. Following the same 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). ...
terms of accuracy and computational effort. Following the same 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). ...
Kulsoom Iftikhar1, Shahzad Anwar1, Izhar Ul Haq1, Muhammad Tahir Khan1 and Sayed Riaz Akbar1
AN OPTIMAL NEURAL NETWORK BASED CLASSIFICATION TECHNIQUE FOR BREAST CANCER DETECTION
...ted using ROC curve. The accuracy rate of developed method is 93.1% or 0.93
with sensitivity of 0.99 and specificity of 0.83 according to the receiver operating characteristic (ROC). ...
with sensitivity of 0.99 and specificity of 0.83 according to the receiver operating characteristic (ROC). ...
Sikandar Afridi*, Muhammad Irfan Khattak**, Nasim Ullah***, Gulzar Ahmad**, Muhammad Shafi**
PERFORMANCE ENHANCEMENT OF FACE RECOGNITION SYSTEM USING PRINCIPAL COMPONENT ANALYSIS MERGED WITH DISCRETE WAVELET TRANSFORMS
...
without losing the accuracy. Performance of face recognition system is enhanced in terms of low processing time as
shown by comparing the experimental results of conventional PCA and the proposed technique in this paper.
...
Jianjun Fu1, Shili Liu2, 3, Wenbin Zhu1, Yongyi Jia2, 3, Lanmei Wang1, Yufen Yang4, Zhimin Gu2, 3*and Zaijie Dong1*
... a parent pair with high accuracy (100%), respectively. In addition, we detected significantly unequal progeny contributions of parents and parent pairs in total or in each artificial breeding pilots (P<0.01). In brief, we developed microsatellite multiplex PCR panels for C. alburnus with high capability of monitoring pedigree information, which can be used as a basic tool for family selection breeding of this species.
Yasin Altay1, Saim Boztepe2, Ecevit Eyduran3, İsmail Keskin2, Mohammad Masood Tariq4*, Farhat Abbas Bukhari4 and Irshad Ali4
...e the highest predictive accuracy of the CHAID algorithm, minimum animal numbers in parent and child nodes were thought as 4 and 2. Model fit statistics showed the powerful predictive performance of the CHAID and MARS algorithms, but MARS outperformed CHAID. Considering the regression tree diagram generated by CHAID algorithm, the most influential predictor affecting WF was F, followed by BW, ANC and DA at the 2nd significance degree, and SL at the ...
Sana Mehmood1, Hafiz Muhammad Tahir1*, Muhammad Summer1, Sher Muhammad Sherawat2, Shaukat Ali1*, Sajida Naseem3
...s of spiders. Percentage accuracy of morphological identification was 92.10%. Four morphologically misidentified spiders were allotted to correct taxon after molecular identification. To describe the species diversity and richness in numerical structure, diversity indices (Shannon’s and Simpson’s) and evenness indices (Margalf’s index, Chao 1) were applied. No overlap was found between inter-specific and intra-specific divergence values. Neig...
Nasir Rashid1,2*, Javaid Iqbal1,2, Umar Shahbaz Khan1,2, Mohsin Islam Tiwana1,2 and Amir Hamza1,2
...of their mean percentage accuracy achieved. Variants of support vector machine (SVM) have been used for classification of four movements. Significant improvement in results has been exhibited by quadratic multiclass SVM (Q-mSVM) in terms of classification accuracy. The technique shows average accuracy percentage of 78.48% and maximum accuracy of 88.19% f...
Kamal Al-Samawi1, Mohamed Al-Hassan2, Hussein Migdadi3,4*, Megahed Ammar5 and Salem Alghamdi3
...="font-size: small;">The accuracy of interferon-stimulated gene 15 (ISG15) and interferon-stimulated gene 17 (ISG17) mRNA levels in early detection of pregnancy in Aardi goats compared to progesterone and ultrasound (US) were evaluated. Female goats were synchronized using the ovsynch protocol level in combination with natural mating (NM). Blood samples were collected at 1, 7, 15, 23, 35, and 60 days post NM. Levels of ISG15 ...
Dilara Devranoglu, Ilksen Tavaci, Gonul Filoglu and Ozlem Bulbul*
...the eye color prediction accuracy of the IrisPlex system. We used five years old bloodstains and UVC exposed (30 and 60 min) DNA samples. PCR and electrophoresis were performed. The multinomial logistic regression model statistics is applied for eye color prediction. We observed allele and locus drop-outs on both bloodstains stored for five years and UVC exposed samples. The brown and blue eye colors were correctly predicted for reference and degraded samples....
Jing Yu1*, Yao Lu1,2, Zhaojin Lin1, Pimao Chen1 and Yuting Feng1,3
... Results showed that the accuracy of the HSI model was 80%. HSI model built for fish-egg density during April, May and June based on GMM and MINM had the highest accuracy. High HSI area was mainly distributed in the eastern Leizhou Peninsula. HSI distribution was similar to the investigation of spawning grounds, indicating the good performance of the HSI model based on GMM and MINM in forecasting spawning grounds in the West...
Bushra Shaikh, Sadia Muniza Faraz*, Syed Riaz un Nabi Jafri, Syed Usman Ali
...zation technique with an accuracy of 98 % for a mobile robot prototype in an indoor environment. The proposed algorithm is simple, low cost, independent of lighting conditions and requires less computational steps to identify the exact location on the map.
...
Mona Mohammed EL-Derbawy1, Eman Naser Hafez2*,
Mona Abdel Daym Abd Rabbo1, Nagwa Ibrahim Toaleb3,
Saedia Abdel Hady Sayed El-Ahl1 and Bahaa Eldkeen Wade EL-Aswad4
...aled better specificity, accuracy and positive predictive value (PPV) of 87 %, 92.3% and 84 %, respectively. While normal SCA revealed 83.9%, 90.4 % and 80.7 %, respectively. It was concluded that irradiated SCA achieved better remarkable ODs than normal SCA and better specificity due to low cross-reactivity with other parasites. S0 it can be used as a tool for diagnosis of chronic schistosomiasis.
... 
Amal H. Mostafa, Mohammed Y. Matoock, Heba M. A. Khalil*
...in terms of time-saving, accuracy, and reliability in assessing and managing free roaming dog’s aggressive level.
Keywords | Free roaming dogs, Aggression, SAFER, MATCH-UP-II, Management
...
Jing Fu
...y of 78%, and an overall accuracy rate of 82%. CK20 in mucinous ovarian tumors had a diagnostic sensitivity of 94%, a specificity of 59%, and an overall accuracy rate of 85%. SATB2/CK20 in mucinous ovarian tumors has a diagnostic sensitivity of 65%, a specificity of 99%, and an overall accuracy rate of 89%. Compared with SATB2/CK20 single staining, SATB2/CK20 double staining had lower sens...
Thobela Louis Tyasi1*, Lubabalo Bila2, Nkgaugelo Kgasago3, Siza Mthi4
...sts with a high relative accuracy and consistency. This research was performed at the University of Limpopo experimental farm (Syferkuil) to examine the effect of sex on the interrelationship between body weight and linear body measurements in South African non-descript goat kids. A total of 46 new-born South African non-descript goat kids (30 females and 16 males) were used for the study. Analysis of variance and Pearson’s correlation were used for data...
Muhammad Shaheen1* and Abdullah2
...ns algorithm in terms of accuracy. An improvement in performance is evident.
... 
