Peer-to-Peer Transactive Energy Trading of Smart Homes/Buildings Contributed by A Cloud Energy Storage System by Shalau Farhad Hussein, Sajjad Golshannavaz, Zhiyi Li

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Mobility Prediction and Resource-Aware Client Selection for Federated Learning in IoT by Rana Albelaihi

“…FL enables decentralized machine learning by allowing collaborative model training without sharing raw data, preserving privacy. …”
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Enhancing Mobile App Recommendations With Crowdsourced Educational Data Using Machine Learning and Deep Learning by Naadiya Mirbahar, Kamlesh Kumar, Asif Ali Laghari

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A Study on an Improved Generative Adversarial Network Model for Super-Resolution Image Reconstruction by Ximin Qu, Cheng Peng

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Virtual reality as a learning tool: Evaluating the use and effectiveness of simulation laboratories in educational settings by Mila Dodevska, Eftim Zdravevski, Ivan Chorbev, Magdalena Kostoska, Frederico Branco, Paulo Jorge Coelho, Ivan Miguel Pires, Petre Lameski

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Dataset of worker perceptions of workforce robotics regarding safety, independence, job security, and privacyGitHub by Yu (Andrew) Liu, Gurpreet Kaur, Natasha Kholgade Banerjee, Sean Banerjee

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A Recognition Method for Marigold Picking Points Based on the Lightweight SCS-YOLO-Seg Model by Baojian Ma, Zhenghao Wu, Yun Ge, Bangbang Chen, He Zhang, Hao Xia, Dongyun Wang

“…These modifications achieve substantial model compression, significantly reducing the model size, parameter count, and computational complexity (GFLOPs). Segmentation efficiency is further optimized through a dual-path collaborative architecture (Seg-Marigold head). …”
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The Role of Lightweight AI Models in Supporting a Sustainable Transition to Renewable Energy: A Systematic Review by Tymoteusz Miller, Irmina Durlik, Ewelina Kostecka, Polina Kozlovska, Marek Staude, Sylwia Sokołowska

“…This review concludes by highlighting the opportunities and challenges for policymakers, researchers, and industry stakeholders aiming to integrate circular economy principles into RE strategies, emphasizing the urgent need for collaborative solutions and incentivized policies that encourage low-footprint AI innovation.…”
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Centralized Control Strategy for Hybrid Microgrid Based on Layered Event Triggering by Yiming LI, Qi HE, Hailiang WANG, Hao ZHONG, Hui MA, Yuehua HUANG

“…The device layer is the local control layer, which adopts the distributed collaborative control. The designed local controller can locally control and update the output status, achieving decentralized and autonomous operation of the hybrid microgrid. …”
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Interweaving bonds: examining trust, commitment and social sustainability in the agri-food supply chain in Kenya by Edwin Obonyo, S. Wagura Ndiritu, Marco Formentini

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Cavernous Haemangioma Mimicking Lower Eyelid Fat Bags - An Interesting Case Report by Isha Agarwalla, Rasika Khedkar, Divya Chaudhary

“…In cases like these, interdisciplinary collaboration between ophthalmologists, radiologists, and oculoplastic surgeons is critical for optimal patient care.…”
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Lumbar Intraspinal Calcium Pyrophosphate Deposition: A Comprehensive Case Study by Juan M. López-Navarro, Diego A. Sandoval-Lopez, Pavle Popovic, Vasileios Karantzoulis, Zeid Bittar, Edgar Santos, Farzam Vazifehdan

“…Multidisciplinary collaboration is vital for accurate diagnosis and optimal management.…”
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Quantization-based chained privacy-preserving federated learning by Ya Liu, Shumin Wu, Yibo Li, Fengyu Zhao, Yanli Ren

“…By enabling multiple participants to train models while keeping their data local collaboratively, FL effectively mitigates the risks associated with centralized storage and sharing of raw data. …”
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Hemosuccus pancreaticus as a complication of acute necrotizing pancreatitis: A case report by Eduardo Segovia-Vergara, Arturo Alonso, Fernando Torres, Paula De la Rosa Acuña, Rodrigo Mansilla-Vivar

“…Diagnosing HP can be challenging, requiring collaboration between gastroenterologists and interventional radiologists. …”
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Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization by Sambandh Bhusan Dhal, Debashish Kar

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Exploring the growth and impact of artificial intelligence in anesthesiology: a bibliometric study from 2004 to 2024 by Keke Liu, Weicheng Qiu, Xinping Yang

“…Despite progress, emerging concerns such as model interpretability, patient-centered outcomes, and multimodal data integration remain underexplored.ConclusionAI in anesthesiology is entering a phase of rapid interdisciplinary expansion, integrating clinical needs with computational innovation. Future research should prioritize the clinical validation of AI tools, foster stronger collaboration between computer scientists and anesthesiologists, and address unresolved translational gaps such as model interpretability and cross-modal data fusion.…”
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Offline Detection of Violations in Chinese E-Commerce Live Streaming Content by Xiaohan Liu, Chenyu Liu, Ran Bai, Liu Yuan, Yanquan Zhou, Minjiang Huang, Jipeng Qiang

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A Multiscale Gradient Fusion Method for Color Image Edge Detection Using CBM3D Filtering by Zhunruo Feng, Ruomeng Shi, Yuhan Jiang, Yiming Han, Zeyang Ma, Yuheng Ren

“…In this paper, we present a novel color edge detection method that integrates collaborative filtering with multiscale gradient fusion. …”
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The Adoption of Web-Based Learning in the Teaching and Learning of Accounting in South African Secondary Schools by Tesfanesh Kassa Debusho, Patricia Namayammu Mokgosi, Margaret Kholiwe Ntsana

“…Therefore, a need exists for support and capacity building of Accounting teachers to effectively implement web-based collaborative learning in South African schools. This study sought to investigate the factors that affect the use of Web-Based Learning (WBL) in the teaching of Accounting subjects in the Capricorn District within the Limpopo Province, South Africa. …”
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Data-driven design of topologically optimized auxetic metamaterials for tailored stress–strain and Poisson’s ratio-strain behaviors by Yueyou Tang, Anfu Zhang, Qi Zhou, Mu He, Liang Xia

“…Conventional topology optimization methods often struggle to achieve simultaneous customization of stress–strain and Poisson’s ratio–strain curves in auxetic metamaterials, due to the complexity of nonlinear analysis, multi-objective coupling, and high computational costs. To overcome these limitations, present work proposes a physics–data collaborative design framework that integrates nonlinear topology optimization with neural networks. …”
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