Optimizing intelligent reflecting surface assisted visible light communication networks under blockage and practical constraints using TLBO for IoT applications by Vipul Dixit, Ajit Kumar, Nishant Sharan, Shikha Pandey, Atul Kumar, Ram Sewak Singh

“…Visible Light Communication (VLC) stands out as a promising wireless access technology for IoT devices. This paper presents a novel Teaching-Learning-Based Optimization (TLBO) optimized Intelligent Reflecting Surface (IRS)-assisted VLC system aimed at maximizing Signal-to-Noise Ratio (SNR) and enhancing illuminance uniformity. …”
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Innovations in Wave Energy: A Case Study of TALOS-WEC’s Multi-Axis Technology by Fatemeh Nasr Esfahani, Wanan Sheng, Xiandong Ma, Carrie M. Hall, George Aggidis

“…This project presents a pioneering approach to wave energy capture through its unique multi-axis and omnidirectional point absorber design. …”
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Enabling Advanced Land Cover Analytics: An Integrated Data Extraction Pipeline for Predictive Modeling With the Dynamic World Dataset by Victor Radermecker, Andrea Zanon, Nancy Thomas, Annita Vapsi, Saba Rahimi, Rama Ramakrishnan, Daniel Borrajo

“…In this study, we democratize this data by presenting a flexible and efficient end-to-end pipeline for working with the Dynamic World dataset, a cutting-edge near-real-time land use/land cover (LULC) dataset. …”
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A Knowledge-Driven Framework for AI-Augmented Business Process Management Systems: Bridging Explainability and Agile Knowledge Sharing by Danilo Martino, Cosimo Perlangeli, Barbara Grottoli, Luisa La Rosa, Massimo Pacella

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Field-free spin–orbit torque devices for logic and neural network applications by Chun-Yi Lin, Jui-Yu Hsieh, Po-Chuan Wang, Chia-Chin Tsai, Chi-Feng Pai

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Deep(er) reconstruction of imaging Cherenkov detectors with swin transformers and normalizing flow models by C Fanelli, J Giroux, J Stevens

“…These methods enable direct learning from real data and the reconstruction of complex topologies. …”
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NeIL: Intelligent Replica Selection for Distributed Applications by Faraz Ahmed, Lianjie Cao, Ayush Goel, Puneet Sharma

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Peculiarities of the Development of Students’ Musical Skills Under the Influence of Modern Software by Hui Yang

“…This study explored the impact of digital technologies on the development of musical skills among music students. A learning experiment was conducted with 66 students between the ages of 18 and 21 from China, France, Italy, and Spain. …”
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Graph Neural Networks for Digital Pathology by Vincenzo DELLA MEA, Hafsa AKEBLI, Kevin ROITERO

“…The graph learning tasks can be either node-level, edge-level or graph-level. …”
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Fusing multiplex heterogeneous networks using graph attention-aware fusion networks by Ziynet Nesibe Kesimoglu, Serdar Bozdag

“…In this study, we present a framework, named GRAF (Graph Attention-aware Fusion Networks), to convert multiplex heterogeneous networks to homogeneous networks to make them more suitable for graph representation learning. …”
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Blockchain empowered 6G by Yueyue DAI, Ke ZHANG, Yan ZHANG

“…6G network not only explore higher communication rates but also combine with the emerging technologies such as cloud computing,edge computing,artificial intelligence,and big data,and use a new network architecture to achieve wider interconnection and interoperability across network and domains,and provide an intelligent,safe and efficient technical support for industrial Internet of things,smart cities,and intelligent transportation.Blockchain technology as a decentralized,open and transparent distributed ledger technology can provide strong security for 6G.The integration of blockchain technology and 6G network was studied.Firstly,the difference between 5G and 6G network and the challenges of 6G faced were given,and the research of blockchain technology in spectrum management,mobile edge computing and D2D communication was reviewed.Then,the integration of blockchain technology and 6G emerging network was explored.Thus,the technical challenges in terms of blockchain and the cloud-edge-device network,blockchain and federal learning,blockchain-based resource transactions,and lightweight blockchain for edge network were presented.The corresponding solutions were also given.…”
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Blockchain empowered 6G by Yueyue DAI, Ke ZHANG, Yan ZHANG

“…6G network not only explore higher communication rates but also combine with the emerging technologies such as cloud computing,edge computing,artificial intelligence,and big data,and use a new network architecture to achieve wider interconnection and interoperability across network and domains,and provide an intelligent,safe and efficient technical support for industrial Internet of things,smart cities,and intelligent transportation.Blockchain technology as a decentralized,open and transparent distributed ledger technology can provide strong security for 6G.The integration of blockchain technology and 6G network was studied.Firstly,the difference between 5G and 6G network and the challenges of 6G faced were given,and the research of blockchain technology in spectrum management,mobile edge computing and D2D communication was reviewed.Then,the integration of blockchain technology and 6G emerging network was explored.Thus,the technical challenges in terms of blockchain and the cloud-edge-device network,blockchain and federal learning,blockchain-based resource transactions,and lightweight blockchain for edge network were presented.The corresponding solutions were also given.…”
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Personalised Affective Classification Through Enhanced EEG Signal Analysis by Joseph Barrowclough, Nonso Nnamoko, Ioannis Korkontzelos

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Fibre tracing in biomedical images: An objective comparison between seven algorithms. by Youssef Arafat, Cristina Cuesta-Apausa, Esther Castellano, Constantino Carlos Reyes-Aldasoro

“…In biomedical applications, the analysis of traces of vasculature, nerves or fibres of the extracellular matrix can help characterise processes like angiogenesis or the effect of a certain treatment. This paper presents an objective comparison of six existing methodologies (Edge detection, CT Fire, Scale Space, Twombli, U-Net and Graph Based) and one novel approach called Trace Ridges to trace biomedical images with fibre-like structures. …”
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ADMNet: adaptive deformable convolution large model combining multi-level progressive fusion for Building Change Detection by Liye Mei, Haonan Yu, Zhaoyi Ye, Chuan Xu, Cheng Lei, Wei Yang

“…Second, we utilize a large model semantically driven to enhance model context awareness and construct long-range feature dependencies from multi-scale edge information, which are then integrated with locally adaptive edge structure features to achieve accurate edge localization. …”
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Design and Analysis of Bionic Cutting Blades Using Finite Element Method by Mo Li, Yuwang Yang, Li Guo, Donghui Chen, Hongliang Sun, Jin Tong

“…To compare the working efficiency of conventional blade and bionic blades, 3D finite element simulation analysis and experimental measurement were operated in present work. Both the simulation and experimental results indicated that the bionic serrate-edge blades showed better performance in cutting efficiency.…”
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Artificial Intelligence Driving Innovation in Textile Defect Detection by Ahmet Ozek, Mine Seckin, Pinar Demircioglu, Ismail Bogrekci

“…Recent advancements in artificial intelligence (AI)—encompassing computer vision, image processing, and machine learning—have transformed defect detection, delivering improved accuracy, speed, and reliability. …”
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Setting Them Up To Fail by David Allan

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Setting Them Up To Fail by David Allan

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Setting Them Up To Fail by David Allan

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