A novel method for simulating dynamic facades to analysing, and optimizing daylight and visual comfort in office buildings by Mehran Shahmoradi, Mansour Yeganeh

“…This paper intends to show an optimization method to reach visual comfort for the entire year for single office rooms with a nearly fully glazed south side covered by a dynamic shading device. First, a genetic algorithm optimized 63 h of a year separately. Then, the shading device's optimum (state of a shading device that leads to gaining high indoor illumination while controlling glare level) position for all sample hours was collected. …”
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Hunting Stability Enhancement of a Train Bogie Employing Inerter-Based Suspension Mechanism by Yong Wang, Chenyang Hong, Haodong Meng

“…The structural parameter analysis of inerter-based suspension mechanism is conducted, and the structural parameters are optimized using the nondominated sorting whale optimization algorithm (NSWOA). The results show that M1 and M2 configurations worsen the bogie hunting stability, while the M3 configuration enhances the bogie hunting stability, in which the linear and nonlinear critical speeds are larger than those of the original suspension, and the LCO amplitude of the bogie lateral motion is smaller. …”
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Prioritising explainable AI-driven recommendations with knowledge graphs and reinforcement learning by Neeraj Tiwary, Shahrul Azman Mohd Noah, Fariza Fauzi

“…However, most existing XRSs tend to prioritise either accuracy or explainability in isolation, with limited attention to aligning recommendations with individual user preferences while providing well-substantiated justifications. …”
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Force-Driven Model for Automated Clear Aligner Staging Design Based on Stepwise Tooth Displacement and Rotation in 3D Space by Sensen Yang, Yumin Cheng

“…The method simplified the alignment process into a force-driven mechanics model that calculates forces and moments exerted on teeth while adhering to Newton’s third law, determining their displacement and rotation at each position. …”
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Machine Learning Techniques and Recommender Systems for Large Educational Data by Ammar Mohammed, Murtadha Hamad

“…The finding results show the SVD achieved a 91% HR and KNN achieved a 96% HR while the KNN algorithm achieved highest accuracy of 99%, closely followed by SVD at an accuracy of 96% but when utilized the Grid Search (GS) technique with the recommended ML algorithms achieved HR of 99% for SVD and 98% for KNN. …”
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Equipment Fault Diagnosis Method Based on High-efficient Communication Federated Learning by LIU Jing, ZHAO Yichen, LIU Xinghua, WU Youxi, JI Haipeng

“…The experimental results show that compared with the federated average algorithm, this method achieves a fault diagnosis accuracy of 92. 20% , while reducing communication time by 56. 88% and shortening communication rounds by 47. 37% , effectively improving communication efficiency.…”
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Hierarchical Embedded System Based on FPGA for Classification of Respiratory Diseases by Trong-Thanh Han, Kien Le Trung, Phuong Nguyen Anh, Anh Do Trung

“…The system is engineered to achieve high accuracy and efficiency while minimizing energy consumption, making it suitable for deployment in mobile devices or embedded systems. …”
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Improving Portfolio Management Using Clustering and Particle Swarm Optimisation by Vivek Bulani, Marija Bezbradica, Martin Crane

“…Particularly, this research examines different approaches for handling missing values and volatility, while examining their effects on optimal portfolios. …”
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Fuzzy-Based Multi-Modal Query-Forwarding in Mini-Datacenters by Sami J. Habib, Paulvanna Nayaki Marimuthu

“…The experimental results demonstrate that the framework provides a flexible and adaptive solution that balances buffer usage while maintaining over 95% reliability in most queries.…”
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LArcNet: Lightweight Neural Network for Real-Time Series AC Arc Fault Detection by Kamal Chandra Paul, Chen Chen, Yao Wang, Tiefu Zhao

“…Detecting series ac arc faults in diverse residential loads is challenging due to variations in load characteristics and noise. While traditional artificial intelligence-based algorithms can be effective, they often involve high computational complexity, limiting their real-time implementation on resource-constrained edge devices. …”
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Spatiotemporal Analysis of Eco-Geological Environment Using the RAGA-PP Model in Zigui County, China by Xueling Wu, Jiaxin Lu, Chaojie Lv, Liuting Qin, Rongrui Liu, Yanjuan Zheng

“…It functions as a key hub for water management, energy production, and shipping, while also serving as a vital zone for ecological and environmental protection. …”
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Connective Tissue Disorder-Induced Diffuse Alveolar Hemorrhage: A Comprehensive Review with an Emphasis on Airway and Respiratory Management by Mayuri Mudgal, Swetha Balaji, Ajeetha Priya Gajendiran, Ananthraj Subramanya, Shanjai Krishnan Murugan, Venkatesh Gondhi, Aseem Rai Bhatnagar, Kulothungan Gunasekaran

“…High-dose corticosteroids and immunosuppression are essential, while severe cases require extracorporeal membrane oxygenation or plasmapheresis. …”
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Optimizing RetinaNet anchors using differential evolution for improved object detection by Asaad Mohammed, Hosny M. Ibrahim, Nagwa M. Omar

“…Specifically, we propose an optimization algorithm based on Differential Evolution (DE) that adjusts anchor scales and ratios while determining the most appropriate number of these parameters for each dataset based on the annotated data. …”
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Integrated energy, environmental, and economic optimization for energy management systems in PHEVs considering traffic conditions by Morteza Montazeri-Gh, Ehsan Alimohammadi

“…In recent years, plug-in hybrid electric vehicles (PHEVs) have garnered attention for their ability to reduce fuel consumption and emissions while offering an increased driving range, mainly due to their large battery packs. …”
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MUFFNet: lightweight dynamic underwater image enhancement network based on multi-scale frequency by Dechuan Kong, Dechuan Kong, Yandi Zhang, Xiaohu Zhao, Yanqiang Wang, Lei Cai

“…A Multi-Scale Enhancement Prior algorithm enhances high-frequency and low-frequency features while the Information Flow Interaction module mitigates information stratification and blockage. …”
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Innovative Hardware Accelerator Architecture for FPGA-Based General-Purpose RISC Microprocessors by Ehsan Ali

“…This approach keeps the decades-old assemblers, compilers, debuggers and library components, and programming practices intact while utilizing the advantages of RC. The proposed architecture employs the LLVM compiler infrastructure to translate an algorithm written in a high-level language (e.g., C/C++) to machine code. …”
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Optimizing Variable Admittance Control for Remote Ultrasound Scanning Under Uncertain Environment by Songjie Xiao, Tengyue Wang, Yun Long, Liangjing Yang

“…However, conventional admittance control strategies face limitations in achieving high-precision force tracking during interaction while maintaining accurate position tracking in free motion. …”
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A CHATBOT FOR POSTGRADUATE INFORMATION DISSEMINATION by Umar Emmanuel, Odulaja Godwin Oluwaseyi, Babatunde Akinbowale Nathanie

“…The Chatbot was designed using HTML, CSS, and ReactJava programming languages while the database was designed using PHP and MySQL Database. …”
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A Day-Ahead Economic Dispatch Method for Renewable Energy Systems Considering Flexibility Supply and Demand Balancing Capabilities by Zheng Yang, Wei Xiong, Pengyu Wang, Nuoqing Shen, Siyang Liao

“…The upper-layer model focuses on the economic efficiency of unit start-up and shut-down, utilizing a particle swarm algorithm to identify unit combinations that comply with minimum start-up and shut-down time constraints. …”
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Analyzing Momentum Shifts in Tennis: A Machine-Learning Approach to Predicting Match Outcomes by Yuean Xia, Changfeng Li, Tanran Zhang

“…Factor analysis identified key independent variables, while a decision-tree model optimized through random-forest and genetic algorithm techniques was employed to predict match outcomes. …”
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