RE-BPFT: An Improved PBFT Consensus Algorithm for Consortium Blockchain Based on Node Credibility and ID3-Based Classification by Junwen Ding, Xu Wu, Jie Tian, Yuanpeng Li

Get full text

Selection of appropriate sanitation systems and technology options for urban areas in Kombolcha town Ethiopia by Seid Endris, Tewodrose Desale Meselaw, Tigist Yimer, Almayehu Ali, Anteneh Yayeh, Nurye Mohammed, Metafet Asmare

“…The final weights of the selected criteria during pairwise comparison were environmental (37.3%), health (38.7%), technical (11.6%), economic (8.1%) and socio-culture (4.3%). Based on those main criteria the selected possible technology option for cluster 1 was “Pour Flush toilet connected to Twin Pits”, for cluster 2 “Pour flush toilet + sink and shower + watertight septic tank”, for cluster 3 “Flush toilet + sink and shower + simplified sewerage system” and for cluster 4 “Flush toilet + sink and shower + septic tank + solid free sewer system”. …”
Get full text

Designing green and safe micro mobility routes: An advanced geo-analytic decision system based approach to sustainable urban infrastructure by Ömer Kaya

“…To this end, this study introduces a geo-analytic decision-making framework for optimizing micro-mobility route planning. …”
Get full text

Deep Learning-Based Spatial Prediction of Landslide Risk in Coastal Areas Using GIS and Multicriteria Decision Making: A DeepLabV3+ Approach by Huyong Yan, Asad Khan, Ahsan Jamil, Belkendil Abdeldjalil, Taoufik Saidani, Nazih Y. Rebouh

“…In this work, we offer a DeepLabV3+-based deep learning framework coupled with geographic information systems and multicriteria decision making methods for spatial prediction of landslide risk, over the Dubai coastal and urban region (covering approximately 4000 km²). …”
Get full text

Decision-Making Analysis on The Credit Card Partnership Program Using Kepner-Tregoe and Smart Technique Approaches by Rafly Aqsha Gultom, Manahan Parlindungan Sarigih Siallagan

“…The SMART evaluation determined the first alternative as the most effective, with the highest score (4.3), based on impact, feasibility, and ROI. The solution includes digital training, promotional kits, and incentive systems to enhance cashier performance. …”
Get full text

Context-Aware Trust Prediction for Optimal Routing in Opportunistic IoT Systems by Abdulkadir Abdulahi Hasan, Xianwen Fang, Sohaib Latif, Adeel Iqbal

Get full text

Retrospective Clinical Trial to Evaluate the Effectiveness of a New Tanner–Whitehouse-Based Bone Age Assessment Algorithm Trained with a Deep Neural Network System by Meesun Lee, Young-Hun Choi, Seul-Bi Lee, Jae-Won Choi, Seunghyun Lee, Jae-Yeon Hwang, Jung-Eun Cheon, SungHyuk Hong, Jeonghoon Kim, Yeon-Jin Cho

Get full text

A Hierarchical Evolutionary Search Framework with Manifold Learning for Powertrain Optimization of Flying Vehicles by Chenghao Lyu, Nuo Lei, Chaoyi Chen, Hao Zhang

“…Specifically, it achieves a 5.3% improvement in fuel economy, a 7.4% mitigation in battery SOH degradation, and a 1.7% reduction in system manufacturing cost compared to standard NSGA-III-based optimization.…”
Get full text

Mapping ecosystem services based on citizen science for integrated coastal zone management in the Solomon Islands by Cholho Song, Chul-Hee Lim, Hyun-Ah Choi, Whijin Kim, Donguk Han, Mary Tahu Paia, Hyeon Kwon Ahn, Sangin Kang, Woo-Kyun Lee

Get full text

Predictive Model for Incipient Faults in Oil-Filled Transformers by Michael Osajeh, Linda Usiosefe, Efosa Igodan

“…This study proposed a data-driven fault/defect diagnostic model using four ensemble models with three base classifiers respectively. The base classifiers are comprised of SVM, C4.5 decision tree, and naive Bayes while the ensemble methods are comprised of stacking, voting, boosting and bagging respectively. …”
Get full text

Landslide Susceptibility Mapping Based on Ensemble Learning in the Jiuzhaigou Region, Sichuan, China by Bangsheng An, Zhijie Zhang, Shenqing Xiong, Wanchang Zhang, Yaning Yi, Zhixin Liu, Chuanqi Liu

“…Using Jiuzhaigou County, Sichuan Province, as a case study, we developed an evaluation index system incorporating 14 factors. We employed three base models—logistic regression, support vector machine, and Gaussian Naive Bayes—assessed through four ensemble methods: Stacking, Voting, Bagging, and Boosting. …”
Get full text

Regional Peculiarities of Gender Policy in the Republic of Belarus by Flura I. Khramtsova

“…Gender policy in the context of international legislative acts takes into account the national identity, the features of the political system, and the socio-economic development of a concrete state. …”
Get full text