Reliability assessment method of distribution system based on algebraic model by YU Wei, LI Heng, SU Yifang, KONG Yixiao, LU Yangchao, LE Jian

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Incorporating cost considerations into shared decision-making: lessons from Bulgaria by Guenka Petrova, Maria Kamusheva, Konstantin Tachkov, Maria Dimitrova, Teodora Chamova, Yoana Seitaridou, Vera Stoeva, Martin Donchev, Maya Hristova, Bertalan Nemeth, Zsuzsanna Ida Petyko, François Houÿez

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Design of Partially Suspended Silicon Nitride Slot Waveguides for Efficient Forward Stimulated Brillouin Scattering by Kang Wang, Junqiang Sun, Ming Cheng

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ECGNet: High-Precision ECG Classification Using Deep Learning and Advanced Activation Functions by Muhammad Abubakar, Ahsan Raza, Arfan Ali Nagra, Anas Bilal, Ahmad Alshammari, Monir Abdullah, Sahraoui Dhelim

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Optimal scheduling of electrical energy in smart buildings based on peer-to-peer transactions by ZHENG Ying, HUANG Hui, QI Qifeng, ZHANG Youbing, MAO Cui, ZHU Kaixiang, FENG Changsen

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A multi-source data fusion method for distribution network based on improved evidence theory by LOU Zheng, LIU Meizhao, JING Dongsheng, BAI Rui, LI Heting

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Supporting intraoperative margin assessment using deep learning for automatic tumour segmentation in breast lumpectomy micro-PET-CT by Luna Maris, Menekse Göker, Kathia De Man, Bliede Van den Broeck, Sofie Van Hoecke, Koen Van de Vijver, Christian Vanhove, Vincent Keereman

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Real-time observation of coherent spin wave handedness by Taewoo Ha, Kyung Ik Sim, Howon Lee, Hyun Jun Shin, Sanghoon Kim, Se Kwon Kim, Jae Hoon Kim, Dong-Soo Han, Young Jai Choi, Byung Cheol Park

“…Abstract Magnonics, a crucial domain in information science and technology, utilizes spin waves in magnets as efficient information carriers. …”
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Impact of climate change on northern vegetation limits and forest tree wind seed dynamics from the Last Glacial Maximum to presen by Krassimir D. Naydenov, Michel K. Naydenov, Alexander Alexandrov, Todor Gurov, Georgi Hinkov, Sofiya Ivanovska, Veselka Gyuleva, Silvi-Maria Gurova, Biljana Nikolic, Makech Balakumar

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Automated identification of autism spectrum disorder from facial images using explainable deep learning models by El-Sayed Atlam, Khulood O. Aljuhani, Ibrahim Gad, Elsaid Md. Abdelrahim, Ahmed E. Mansour Atwa, Ali Ahmed

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The Application of ICT in Reference Service at Kabale University Library. by Aharimpisya, Barnabas

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The Role of Records Management and Good Governance at Sheema District Local Government Headquarters. by Asasiira, Priscah

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Monitoring and Evaluation as Key Factor in Performance of Health Institutions, A Case Study of Kigali Health Institute, Kigali Rwanda. by Jean, Pierrekwizera

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Naads and Poverty Reduction in Kabale District by Matthew, Jimtexkuule

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Using Excel to teach accounting as an integrated system by Stoycho Rusinov, Nadya Sokolova

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COMPLEX STRUCTURE LIFE CALCULATION PLATFORM BASED ON SECONDARY DEVELOPMENT OF ABAQUS by JIANG RenJie, YANG XiaoGuang, SHI DuoQi, DONG ChengLi, GUO GuangPing

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GREY PREDICTION FOR THE REMAINING LIFE OF CORROSION NOZZLE OF SEPARATOR by YU ShuRong, LUO WenQiang

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Networking algorithm based on self-organizing map neural network for VANET by WU Yi1, YANG Qiong1, WU Qing-xiang2, SHEN Lian-feng1, LIN Xiao2

“…An approach was proposed to apply a self-organizing map neural network to organize vehicular ad hoc net-works,which were used for car driving-aid systems and automatic driverless systems in intelligent transportation area.Based on the location and driving direction information of the periodic message of each vehicle,the vehicles were organ-ized into vehicular ad hoc networks according to the similarity of destination and driving direction.The organized vehi-cles only communicate mainly with the vehicles in the same vehicular ad hoc network and deal with messages from the same network.Theoretic analysis and simulation results show that the system transmission delay of this proposed algo-rithm is lower than one of the previous method,and the system throughput is remarkably improved.…”
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Adelaide Ristori cantante by Davide Mingozzi

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Regularization for Electricity Price Forecasting by Bartosz Uniejewski

“…The study reveals that LQ and elastic net consistently produce more accurate forecasts compared to other regularization types. …”
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