Optical Neuroimage Studio (OptiNiSt): Intuitive, scalable, extendable framework for optical neuroimage data analysis. by Yukako Yamane, Yuzhe Li, Keita Matsumoto, Ryota Kanai, Miles Desforges, Carlos Enrique Gutierrez, Kenji Doya

“…Challenges in analysis includes 1) ensuring data quality of original and processed data at each step, 2) selecting optimal algorithms and their parameters from numerous options, each with its own pros and cons, by implementing or installing them manually, 3) systematically recording each analysis step for reproducibility, and 4) adopting standard data formats for data sharing and meta-analyses. …”
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CHIP: Clustering Hotspots in Layout Using Integer Programming by Rohit Reddy Takkala, Chris Chu

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Digital solutions for risk management in sustainable development conditions of business ecosystems by Oleksii HNIEZDOVSKYI, Danylo DOMASHENKO, Svitlana DOMASHENKO, Denys MOROZOV, Serhii SHYLO

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Agricultural Model for Allocation of Crops Using Pollination Intelligence Method by C. N. Ejieji, A. E. Akinsunmade

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A hybrid-ABC approach to the multi-controller placement problem of software-defined networks by Bilal Babayigit, Mohammed Abubaker, Banu Ulu

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Integrated Planning of MV/LV Distribution Systems with DG Using Single Solution-Based Metaheuristics with a Novel Neighborhood Search Method Based on the Zbus Matrix by Alejandro Valencia, Ricardo A. Hincapie, Ramon A. Gallego

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Exploring Physics-Informed Neural Networks for the Generalized Nonlinear Sine-Gordon Equation by Alemayehu Tamirie Deresse, Tamirat Temesgen Dufera

“…We have developed a PINN algorithm and implemented it using Python software. …”
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Augmented Reality Interactive Guide System and Method for Tourist Attractions Based on Geographic Location by Xueqiu Zhuang, Huihua Jiao, Kai Lu

“…Probabilistic algorithms allow the random choice of the next computational step during execution. …”
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Expeditious Dynamic Clustering in Preprocessing for High-Performance Classification by Anamika Pimpa, Narissara Eiamkanitchat

“…This integration selectively combines clusters based on a low-frequency criterion value, optimizing the clustering of the dataset. The EDC execution method operates without the need for a computational distance function, thereby revolutionizing the clustering paradigm for high-performance data classification. …”
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Research on management mode of talent team in E-government based on big data analysis by Shixuan Hao

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Effective Stochastic Modeling of Energy-Constrained Wireless Sensor Networks by Ali Shareef, Yifeng Zhu

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A lightweight knowledge graph-driven question answering system for field-based mineral resource survey by Mingguo Wang, Chengbin Wang, Jianguo Chen, Bo Wang, Wei Wang, Xiaogang Ma, Jiangtao Ren, Zichen Li, Yicai Ye, Jiakai Zhang, Yue Wang

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A new approach for diabetes risk detection using quadratic interpolation flower pollination neural network by Yulianto Triwahyuadi POLLY, Adriana FANGGIDAE, Juan Rizky Mannuel LEDOH, Clarissa Elfira AMOS PAH, Bertha S. DJAHI, Kisan Emiliano Rape TUPEN

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Using 'sentinel' plants to improve early detection of invasive plant pathogens. by Francesca A Lovell-Read, Stephen Parnell, Nik J Cunniffe, Robin N Thompson

“…Using Xylella fastidiosa infection in Olea europaea (European olive) as a current high profile case study, for which Catharanthus roseus (Madagascan periwinkle) is a candidate sentinel host, we apply a Bayesian optimisation algorithm to determine the optimal number of sentinel hosts to introduce for a given sampling effort, as well as the optimal division of limited surveillance resources between crop and sentinel plants. …”
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Adaptive Representations for Improving Evolvability, Parameter Control, and Parallelization of Gene Expression Programming by Nigel P. A. Browne, Marcus V. dos Santos

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Prefrontal meta-control incorporating mental simulation enhances the adaptivity of reinforcement learning agents in dynamic environments by JiHun Kim, Jee Hang Lee, Jee Hang Lee, Jee Hang Lee

“…We evaluated this approach through comprehensive experimental simulations across three distinct paradigms: the two-stage Markov decision task, which frequently serves in human learning and decision-making research; stochastic GridWorldLoCA, an established benchmark suite for model-based reinforcement learning; and a stochastic Atari Pong variant incorporating multiple goals under uncertainty.ResultsExperimental results demonstrate Meta-Dyna's superior performance compared with baseline reinforcement learning algorithms across multiple metrics: average reward, choice optimality, and a number of trials for success.DiscussionsThese findings advance our understanding of computational reinforcement learning whilst contributing to the development of brain-inspired learning agents capable of flexible, goal-directed behavior within dynamic environments.…”
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A comprehensive systematic review of intrusion detection systems: emerging techniques, challenges, and future research directions by Arjun Kumar Bose Arnob, Rajarshi Roy Chowdhury, Nusrat Alam Chaiti, Sudipta Saha, Ajoy Roy

“…This research also highlights the success of models such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Explainable AI (XAI) in improving detection accuracy as well as computational efficiency and interoperability. …”
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Parameterization of intraoperative human microelectrode recordings: Linking action potential morphology to brain anatomy. by Matthew R Baker, Bryan T Klassen, Michael A Jensen, Gabriela Ojeda Valencia, Hossein Heydari, Nuri F Ince, Klaus-Robert Müller, Kai J Miller

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Evaluating Network Performance in a Web-Based Augmented Reality System for Lipmatte Color Recommendation by Zulfikri Paidi, Nurhanna Md Abd Wahid, Nurzaid Muhd Zain, Mahfudzah Othman

“…This research highlights the significant potential of AR technology in modernizing the beauty shopping experience while illustrating the critical role of network performance in achieving optimal user satisfaction. Future investigations should explore advanced dynamic resource allocation algorithms and emerging technologies, such as 5G connectivity and edge computing, to further enhance real-time AR applications and better understand user interactions with AR in retail settings. …”
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Criminal Trajectory Reconstruction Method Based on a Mobile Reference System by Zhengyan Ding, Yan Lin, Xin Wei Li, Cheng Rui Gu, Qi Yan Ying

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