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| 1 | Grey prediction with rolling mechanism for electricity demand forecasting of Turkey 显示文摘 | Diyar A Mehmet A | 2007 | Energy2007，，32： | 1 |
| 2 | Amulfi-crite- ria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method显示文摘 | Boran FatihEmre Genc Serkan Kurt Mustafa Akay Diyar | 2009 | Expert Systems with Applications2009，36，11： | 1 |
| 3 | Grey prediction with rolling mechanism for electricity demand forecasting of Turkey显示文摘 | Diyar Akay Mehmet Atak | 2007 | Energy2007，，32： | 1 |
| 4 | Grey Prediction with Rolling Mechanismfor Electricity Demand Forecasting of Turkey显示文摘 | Diyar Akay Mehmet Atak | 2007 | Energy2007，，32： | 1 |
| 5 | Conceptual design evaluation using interval type-2 fuzzy information axiom显示文摘 | Diyar Akay Osman Kulak Brian Henson | 2010 | Computers in Industry2010，，2： | 1 |
| 6 | Development of DexAide Right Ventricular Assist Device: UpdateII显示文摘 | Kiyotaka Fukamachi Diyar Saeed Alex L | 2008 | ASAIO2008，54，6： | 1 |
| 7 | Grey prediction with rolling mechanism for electricity demand forecasting of Turkey 显示文摘 | Diyar Akay Mehmet Atak | 2007 | Energy (S0360-5442)2007，32，9： | 1 |
| 8 | The Incidence of Donor Site Pain After Bone Graft Harvesting From the Posterior Iliac Crest May Be Overestimated: A Study on Spine Fracture Patients显示文摘 | Diyar Delawi Wouter J. A. Dhert René M. Castelein Abraham J. Verbout F Cumhur Oner | 2007 | Spine2007，，17： | 1 |
| 9 | Grey Prediction with Rolling Mechanism for Electricity Demand Forecasting of Turkey 显示文摘 | AKAY DIYAR ATAK MEHMET | 2007 | Energy2007，32，9： | 1 |
| 10 | Grey Prediction with Rolling Mechanism for Electricity Demand Forecasting of Turkey显示文摘 | Diyar Akay Mehmet Atak | 2007 | Energy2007，，32： | 1 |
| 11 | Comparison of direct and iterative artificial neural network forecast approaches in multi-peri- odic time series foreeasting 显示文摘 | Coskun H Diyar A | 2009 | Expert Systems with Applications: An International Journal2009，36，2： | 1 |
| 12 | Grey prediction with rolling mechanism for electricity demandforecast- ing of Turkey显示文摘 | Diyar Akny Mehmet Atak | 2007 | Energy2007，32，： | 1 |
| 13 | Conceptual design evaluation using interval type-2 fuzzy information axiom显示文摘 | DIYAR A OSMAN K BRIAN H | 2011 | Computers in Industry2011，62，2： | 1 |
| 14 | Performance of hot-mix asphalt using polymer-modified bitumen and marble dust as a filler显示文摘Marble dust waste powder generated by the marble cutting industry has a high alkalinity.In this research,the use of marble dust(MD)as a mineral filler substitute in hot mixed asphalt(HMA)was evaluated.The Marshall mix design was used to determine the optimum bitumen content(OBC)for all of the mixtures.For each of the four MD contents,i.e.,0,2%,4%,and 6%by weight of the total aggregates,four different bitumen percentages were used.The results of the Marshall stability test showed that the optimum filler content was 4%MD.Samples were prepared with 0 MD in the control mix and varying percentages of MD as an alternate filler.In addition,MD aided in increasing the Marshall stability,rutting resistance,and permanent deformation and reduced the fatigue life of asphalt mixtures.As the percentage of MD increases,the rutting resistance and stiffness at high temperatures both increase.As the percentage of MD increases,the fatigue life reduces.Rut resistance in high-temperature conditions can be improved by using MD in HMA as a partial substitute for stone dust(SD).In areas where extensive MD waste is present,MD can be incorporated into HMA mixtures instead of conventional fillers. | Diyar Khan Rawid Khan Muhammad Tariq Khan Muhammad Alam Tanveer Hassan | 2023 | Journal of Traffic and Transportation Engineering(English Edition)2023，10，3： | 0 |
| 15 | Multi-Level Fusion in Ultrasound for Cancer Detection Based on Uniform LBP Features显示文摘Collective improvement in the acceptable or desirable accuracy level of breast cancer image-related pattern recognition using various schemes remains challenging.Despite the combination of multiple schemes to achieve superior ultrasound image pattern recognition by reducing the speckle noise,an enhanced technique is not achieved.The purpose of this study is to introduce a features-based fusion scheme based on enhancement uniform-Local Binary Pattern(LBP)and filtered noise reduction.To surmount the above limitations and achieve the aim of the study,a new descriptor that enhances the LBP features based on the new threshold has been proposed.This paper proposes a multi-level fusion scheme for the auto-classification of the static ultrasound images of breast cancer,which was attained in two stages.First,several images were generated from a single image using the pre-processing method.Themedian andWiener filterswere utilized to lessen the speckle noise and enhance the ultrasound image texture.This strategy allowed the extraction of a powerful feature by reducing the overlap between the benign and malignant image classes.Second,the fusion mechanism allowed the production of diverse features from different filtered images.The feasibility of using the LBP-based texture feature to categorize the ultrasound images was demonstrated.The effectiveness of the proposed scheme is tested on 250 ultrasound images comprising 100 and 150 benign and malignant images,respectively.The proposed method achieved very high accuracy(98%),sensitivity(98%),and specificity(99%).As a result,the fusion process that can help achieve a powerful decision based on different features produced from different filtered images improved the results of the new descriptor of LBP features in terms of accuracy,sensitivity,and specificity. | Diyar Qader Zeebaree Adnan Mohsin Abdulazeez Dilovan Asaad Zebari Habibollah Haron Haza Nuzly Abdull Hamed | 2021 | Computers, Materials & Continua2021，，3： | 0 |
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