Technologically innovative teaching and learning strategies in contexts of crises: lessons from COVID-19 in selected primary schools in Masvingo District, Zimbabwe by Logic Magwa, Simangele Mayisela, Inos Chibidi

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Challenges in IoMT Adoption in Healthcare: Focus on Ethics, Security, and Privacy by Alton Mabina, Neo Rafifing, Boago Seropola, Thapelo Monageng, Pulafela Majoo

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Challenges and opportunities of artificial intelligence in African health space by Muslim A. Alaran, Salim Kamaludeen Lawal, Mustapha Husseini Jiya, Salihu Alhassan Egya, Mohamed Mustaf Ahmed, Abdullateef Abdulsalam, Usman Abubakar Haruna, Muhammad Kabir Musa, Don Eliseo Lucero-Prisno

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Enhancing Higher-Education Governance Through Telepresence Robots and Gamification: Strategies for Sustainable Practices in the AI-Driven Digital Era by Abdullah Addas, Fawad Naseer, Muhammad Tahir, Muhammad Nasir Khan

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Miha: An Affordable Humanoid Platform for Research and Development by Alexandru Sonea, Nicolae Goga, Ramona Cristina Popa, Iuliana Marin, Ioana Petre, Cristian Gheorghe, George Suciu, Victor Suciu

“…It includes a unique dual hot-swap battery design that allows continuous operation in the field with best-in-class 3-hours autonomy on one charge. The presented version uses a Raspberry Pi Compute Module 4 as the main controller and uses ROS Noetic. …”
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A deep learning approach to understanding controlled ovarian stimulation and in vitro fertilization dynamics by Jia Wang, Zitao Liu, Chenxi Zhang, Yu Cao, Benyuan Liu, Yimin Shu, Yau Thum, John Zhang

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Design Challenges for an Autonomous Unmanned Aerial Vehicle With Hybrid Lift and Propulsion by Alysson Nascimento de Lucena, Neusa Maria Franco de Oliveira, Bruno Marques Ferreira da Silva, Raimundo Carlos Silverio Freire Junior, Luiz Marcos Garcia Goncalves

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Adaptive Step RRT*-Based Method for Path Planning of Tea-Picking Robotic Arm by Xin Li, Jingwen Yang, Xin Wang, Leiyang Fu, Shaowen Li

“…The Adaptive Step RRT* (AS-RRT*) path planning algorithm for tea-picking robotic arms was proposed as a solution to the autonomy, safety, and efficiency problems inherent to tea-picking robots in tea plantations. …”
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The Impact of Rain on Image Quality From Sensors on Connected and Autonomous Vehicles by Tim Brophy, Darragh Mullins, Robert Cormican, Enda Ward, Martin Glavin, Edward Jones, Brian Deegan

“…As automated vehicles progress toward increasing levels of autonomy, the need for thorough testing of such systems in all relevant environments increases. …”
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Model‐Free Deep Reinforcement Learning with Multiple Line‐of‐Sight Guidance Laws for Autonomous Underwater Vehicles Full‐Attitude and Velocity Control by Chengren Yuan, Changgeng Shuai, Zhanshuo Zhang, Jianguo Ma, Yuan Fang, YuChen Sun

“…Autonomous underwater vehicles (AUVs) are increasingly utilized, driving the need for enhanced autonomy. Conventional proportional–integral–derivative (PID) algorithms require frequent control parameter adjustments under varying voyage conditions, which increases operational and experimental costs. …”
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Automotive navigation for mobile robots: Comprehensive review by Mayar Abdullah Taleb, Gyula Korsoveczki, Géza Husi

“…The aim is to evaluate the performance of various navigation algorithms against a set of clearly defined metrics such as success rate, path efficiency, computational cost, and adaptability to environmental changes. …”
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Performance and scientific mapping of heutagogy publication from 2005 to 2024: A bibliometric analysis by Kardiyem, Bandi, Susilaningsih, Fery Setyowibowo

“…The research spans disciplines such as education, computer science, and business, with thematic focuses on educational technology, lifelong learning, and 21st-century skills. …”
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Parametric modeling of deformable linear objects for robotic outfitting and maintenance of space systems by Amy Quartaro, Joshua Moser, John Cooper, Erik Komendera

“…This article implements a model-based optimization approach to estimate cable configuration, where a design parameter of the model’s discretization level enables trading model accuracy vs computational complexity. Observed 2D cable configurations are used to improve the model via parameter estimation. …”
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How management support and diversity factors affect employee performance within the digital workplace by Lena Grzesiak, Wojciech Ulrych

“…Design/methodology/approach – We developed a theoretical model (MS→DW→EP) and tested it based on the computer-assisted web interview (CAWI) conducted in mid-2022. …”
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HyperspectralViTs: General Hyperspectral Models for On-Board Remote Sensing by Vit Ruzicka, Andrew Markham

“…On-board processing of hyperspectral data with machine learning models would enable an unprecedented amount of autonomy across a wide range of tasks allowing new capabilities, such as early warning systems and automated scheduling across constellations, of satellites. …”
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Legal Status of Artificial Intelligence from Quantum-Theoretic Perspective by E. Melnikova, I. Surov

“…Classical AI, in contrast, is limited to algorithmic computation, bound to produce predefined results regardless of its complexity. …”
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Interagir avec la « machine » à l’ère du numérique : des représentations des étudiants à l’évaluation de leur performance académique en anglais by Cédric Brudermann

“…While technology-mediated language learning environments seek to make second language (L2) learners autonomous (as far as possible) in their L2 practices, they paradoxically place them at the center of complex interactions with three external factors which may cause anxiety symptoms: the human–computer interface, the online learning experience and the L2 itself.In this respect, in order to further explore the impact of these variables on the learners’ L2 performance in a technology-mediated language learning environment, an exploratory study was conducted during the academic year 2014-2015 among a group of 250 first year STEM (Science, Technology, Engineering and Mathematics) students who were enrolled in an English as a foreign language guided autonomy learning pathway (B1 proficiency level). …”
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Non-Fungible Programs by Blake Regalia, Benjamin Adams

“…In many cases, developers have shifted intelligence and autonomy onto the client, leveraging web technologies for computation, graphics, and networking. …”
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Unmanned aerial vehicles advances in object detection and communication security review by Asif Ali Laghari, Awais Khan Jumani, Rashid Ali Laghari, Hang Li, Shahid Karim, Abudllah Ayub Khan

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Non-Monetary Incentives for Participatory Sensing Data Collection: A Sequential Explanatory Design by Syarulnaziah Anawar, Wan Adilah Wan Adnan

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