ARP: asexual reproduction programming by Alireza Khanteymoori, Fatemeh Alamdar, Farzaneh Ghorbani

“…On the other hand, asexual reproduction optimisation (ARO) is another variant of meta-heuristic algorithms in which convergence to the global optima is done at a fast time. …”
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Edge of excellence: JEC's Scopus achievement, doors 2025 breakthroughs, and Volume 4 Issue 1 (2025) highlights by Serhiy O. Semerikov, Tetiana A. Vakaliuk

“… This editorial highlights recent edge computing advancements from the doors 2025 workshop and JEC Volume 4, Issue 1, while celebrating the journal's acceptance into Scopus. …”
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Hyperparameter Optimization of the Perceptron Algorithm for Determining the Feasibility of Research Proposals and Community Service by Lisnawita Lisnawita, Guntoro Guntoro, Loneli Costaner

“…This research aims to optimise the Perceptron algorithm to assess proposal eligibility using Turnitin plagiarism scores and reviewer scores. …”
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Cyber-Physical Systems in Smart Grids Enhancing Energy Management and Distribution Efficiency by Ponnusamy Sivakumar, Gurugubelli Vanitha, G V Rambabu, Sheeba Adlin, Tiwari Mohit, T Saravanan

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Equitable hospital length of stay prediction for patients with learning disabilities and multiple long-term conditions using machine learning by Emeka Abakasanga, Rania Kousovista, Georgina Cosma, Ashley Akbari, Francesco Zaccardi, Navjot Kaur, Navjot Kaur, Danielle Fitt, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan

“…Bias mitigation algorithms reduced disparities in prediction performance across ethnic groups, with the threshold optimiser yielding the most notable improvements. …”
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YOLO-DLHS-P: A Lightweight Behavior Recognition Algorithm for Captive Pigs by Changhua Zhong, Hao Wu, Junzhuo Jiang, Chaowen Zheng, Hong Song

“…Firstly, the C2f-DRB structure is introduced at the Backbone position, and the sizeable convolutional kernel is used to extend the receptive field to enhance the spatial perception ability of the model, and to enhance the network’s ability to capture spatial information while maintaining the number of learnable parameters and computational efficiency; The LSKA attention mechanism is then introduced to be integrated into the SPPF module to construct the SPPF-LSKA structure, which significantly improves the ability of the SPPF module to aggregate features at multiple scales; Then, the downsampling at the Neck position is optimised to the HWD algorithm, which reduces the spatial resolution of the feature map while retaining more useful information and reduces the uncertainty of the information compared with the downsampling method of the baseline model; finally, the Shape-IoU is used to replace the original CIoU, which significantly improves the detection efficiency and accuracy of the model without increasing the extra computational burden. …”
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Minimising latency of pitch detection algorithms for live vocals on low-cost hardware

“…This study investigated, optimised and compared the performance of suitable algorithms for this application. …”
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Lightweight Small Target Detection Algorithm Based on YOLOv8 Network Improvement by Xiaoyi Hao, Ting Li

“…The paper introduces SFD-YOLOv8, a lightweight algorithm based on YOLOv8n, with the aim of enhancing detection performance while maintaining a streamlined architecture. …”
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Forecasting CO2 emissions in BRICS countries using the grey breakpoint prediction models by Huiping Wang, Xinge Guo

“…Abstract In this paper, three novel grey breakpoint prediction models are proposed based on calculating the development coefficient and grey action of grey prediction models after fuzzy breakpoints, unifying the calculation methods for parameter estimation and the relevant time-response equations, and using the particle swarm optimisation algorithm to optimise the two-stage background values. …”
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Adaptive robust self‐scheduling for a wind‐based GenCo equipped with power‐to‐gas system and gas turbine to participate in electricity and natural gas markets by Mojtaba Fereydani, Mohammad Amin Latify

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PCA and PSO based optimized support vector machine for efficient intrusion detection in internet of things by Mutkule Prasad Raghunath, Shyam Deshmukh, Poonam Chaudhari, Sunil L. Bangare, Kishori Kasat, Mohan Awasthy, Batyrkhan Omarov, Rajesh R. Waghulde

“…Evaluating the veracity, exactness, and retrieval rate of different machine learning algorithms is crucial for choosing the most effective ones. …”
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Multi-objective optimization for smart cities: a systematic review of algorithms, challenges, and future directions by YiFan Chen, Weng Howe Chan, Eileen Lee Ming Su, Qi Diao

“…While established methods such as Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Multiobjective Evolutionary Algorithm based on Decomposition (MOED/D) remain prevalent, hybrid frameworks that couple deep learning with evolutionary search display superior adaptability in high-dimensional, dynamic environments. …”
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A new intelligent control strategy for CSTH temperature regulation based on the starfish optimization algorithm by Davut Izci, Serdar Ekinci, Mostafa Jabari, Mohit Bajaj, Vojtech Blazek, Lukas Prokop, Ali Riza Yildiz, Seyedali Mirjalili

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Solving a low-carbon routing problem for perishable distribution food by Martinson Yeboah Appiah, Sun Huaping

“…The model is solved by using a hybrid genetic algorithm with heuristic rules, after which the algorithm’s efficiency is tested with a globally recognised Proudhon data set. …”
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Bio-inspired generative design of contact interfaces subjected to time-dependent loading conditions by David Hernandez-Aristizabal, Santiago Arroyave-Tobón, Kalenia Marquez-Florez, Jean-Marc Linares

“…This adaptation is driven by two key principles: shear stress promotes ossification, while hydrostatic pressure promotes proliferation. …”
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Urban Microcirculation Traffic Network Planning Method Based on Fast Search Random Tree Algorithm by Ning YU

“…The interpolation collision detection method is used to determine the shortest path while considering constraint conditions. By incorporating target gravity into the RRT algorithm, a growth guidance function is obtained, optimising the planned path and completing urban microcirculation traffic network planning. …”
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TsFSIM: a three-step fast selection algorithm for influence maximisation in social network by Liqing Qiu, Shiqi Sai, Xiangbo Tian

“…However, most existing algorithms tend to select accuracy or efficiency to optimise, which leads to their poor performance. …”
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Network security situation assessment based on dual attention mechanism and HHO-ResNeXt by Dongmei Zhao, Guoqing Ji, Shuiguang Zeng

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Algorithmic fandom: how generative AI is reshaping sports marketing, fan engagement, and the integrity of sport by Hans Westerbeek

“…Leveraging technologies such as machine learning, predictive analytics, and automated content generation, sports organisations are increasingly able to tailor fan experiences, anticipate behaviour, and optimise revenue models. While these advancements offer significant opportunities for enhancing interactivity and commercial growth, they also introduce complex ethical, psychological, and regulatory challenges. …”
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Optimal sizing of hybrid renewable energy systems relying on the black winged kite algorithm for performance evaluation by Sarada Mohapatra, Deepa Kaliyaperumal, T. Porselvi, S. V. Tresa Sangeetha, Roobaea Alroobaea, Ahmed Emara

“…To validate the performance, the BKA algorithm is compared against four prominent intelligence algorithms, including Harris Hawks Optimisation (HHO), Sine Cosine Algorithm (SCA), White Shark Optimisation (WSO), Arithmetic Optimisation Algorithm (AOA), and Snake Optimiser (SO). …”
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