DRACO: Decentralized Asynchronous Federated Learning Over Row-Stochastic Wireless Networks by Eunjeong Jeong, Marios Kountouris

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Hybrid Movie Recommendation System With User Partitioning and Log Likelihood Content Comparison by Yongmao Yang, Kampol Woradit, Kenneth Cosh

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OntoCommerce: Incorporating Ontology and Sequential Pattern Mining for Personalized E-Commerce Recommendations by Ghulam Mustafa, Naveed Ahmad Jhamat, Zeeshan Arshad, Nadia Yousaf, Md. Nazmul Abdal, Mohammed Maray, Dokhyl Alqahtani, Mohamad Amir Merhabi, Muhammad Abdul Aziz, Touseef Ahmad

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Congruent Learning for Self-Regulated Federated Learning in 6G by Jalil Taghia, Farnaz Moradi, Hannes Larsson, Xiaoyu Lan, Adam Orucu, Masoumeh Ebrahimi, Andreas Johnsson

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Understanding of ChatGPT adoption among business school students by Manaf Al-Okaily, Wasef Mater, Nasim Matar, Fadi Shehab Shiyyab

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Editorial: Neural network models in autonomous robotics by Long Cheng, Ying Mao, Tomas Ward

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HRT-Net: A Cell-free Cooperative Sensing Method Based on Attention-weighted Hierarchical Network by Shengheng LIU, He YAN, Xingkang LI, Dazhuan XU, Dongming WANG, Yongming HUANG

“…HRT-Net is designed to enhance multi-station collaborative sensing problems for Dual-Functional Radar-Communication (DFRC) systems, offering accurate and resource-efficient target location estimation. …”
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A Data Compression and Reconstruction Method for Distribution Network Field Operation Based on Compressed Sensing and Greedy Algorithm by TANG Lijun, YANG Yingchun, ZHAO Xu, HAN Tianxi, YAO Linpeng

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Transmedial (R)Evolution: {SinOsc.ar(400, 800, 0, 0.1)multisensory.experience}.play; by Marija Mitrović

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Minimum Viable Model (MVM) Methodology for Integration of Agile Methods into Operational Simulation of Logistics by Zichong Lyu, Dirk Pons, Yilei Zhang, Zuzhen Ji

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Modeling and application of implicit feedback in personalized recommender systems by Hui Li, Shuai Wu, Ronghui Wang, Wenbin Hu, Haining Li

“…To solve these problems, this paper proposes an innovative recommendation algorithm model, neural collaborative filtering with multiple attention mechanism (NCF-MAH). …”
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A fashion product recommendation based on adaptive VPKNN-NET algorithm without fuzzy similar image by R. Sabitha, D. Sundar

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Novel CP model and CP-assisted meta-heuristic algorithm for flexible job shop scheduling with preventive maintenance by Lixin Zhao, Leilei Meng, Weiyao Cheng, Yaping Ren, Biao Zhang, Hongyan Sang

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Model-Oriented Training of Coordinators of the Decentralized Control System of Technological Facilities With Resource Interaction by Volodymyr M. Dubovoi, Maria S. Yukhimchuk, Viacheslav V. Kovtun, Krzysztof R. Grochla

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Project-Based Learning in Social Innovation—Developing a Sense of Belonging in Online Contexts by Mats Danielson, Ivar Björkman

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From Junk to Genius: Robotic Arms and AI Crafting Creative Designs from Scraps by Jiaqi Liu, Xiang Chen, Shengliang Yu

“…Moreover, human–robot collaboration not only corrected robotic errors, but also fostered innovative and collaborative solutions, demonstrating the system’s potential as a versatile tool for education and industry while promoting sustainability in design. …”
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Augmented intelligence with voice assistance and automated machine learning in Industry 5.0 by Alexandros Bousdekis, Mina Foosherian, Mattheos Fikardos, Stefan Wellsandt, Katerina Lepenioti, Enrica Bosani, Gregoris Mentzas, Klaus-Dieter Thoben

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Editorial: Virtual reality in industry: spotlight on women by Kay M. Stanney, Dioselin Gonzalez, Amela Sadagic, Carolina Cruz-Neira

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Development and evaluation of the remote passive integrated transponder tag reader for customizable monitoring of wildlife by Staci M. Amburgey, Aadithya Prakash, Amy A. Yackel Adams, Shane R. Siers, Sarah J. Converse

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A Review of Recipe Recommendation Methods by Yao Wu, Ling Kang, Quan Guo, Lei Zhao

“…The investigation into recipe recommendation methodologies primarily encompasses three key aspects: Firstly, it introduces fundamental concepts related to food computing and recommendation systems, delineates the specific research focus on recipe recommendations, and categorizes these algorithms into five distinct types: content-based methods, collaborative filtering-based methods, hybrid approaches, graph-based techniques, and nutrition- and health-oriented recommendation strategies. …”
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