Deep MinMax Networks by Lohmiller, Winfried, Gassert, Philipp, Slotine, Jean-Jacques

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A New Hyperbox Selection Rule and a Pruning Strategy for the Enhanced Fuzzy Min–Max Neural Network by Mohammed, Mohammed Falah, Chee, Peng Lim

“…In this paper, we extend our previous work on the Enhanced Fuzzy Min–Max (EFMM) neural network by introducing a new hyperbox selection rule and a pruning strategy to reduce network complexity and improve classification performance. …”
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Reactivating and reorganizing activity-silent working memory: two distinct mechanisms underlying pinging the brain by Yang, C, He, X, Cai, Y

“…Recent studies have proposed that visual information in working memory (WM) can be maintained in an activity-silent state and reactivated by task-irrelevant high-contrast visual impulses (“ping”). Although pinging the brain has become a popular tool for exploring activity-silent WM, its underlying mechanisms remain unclear. …”

Finding Bukit Brown. by Chee, Janie Alison Hui-Yen., Shiu, Pedro Pui Kar., Siti Nurbaya Rameh.

“…“Finding Bukit Brown” is an 18-minute documentary about Bukit Brown Cemetery prior to its redevelopment. …”
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Understanding solar PV through the MinUS-C module grounded in the ADDIE instructional model by Muhamad Kamarul Azman Sulaiman, Lilia Halim, Nurazidawati Mohamad Arsad, Ruhizan Mohamad Yasin

“…This study contributes to educational literature by providing a structured, evidence-based module for promoting green technology literacy among secondary school students. The findings underscore the potential of integrating digital tools like the MinUS-C Module into science curricula to advance sustainable development goals, equipping students with critical skills and awareness for future energy transitions.…”
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Finding clarity in the fog of hybrid warfare by Li, Ian

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Indonesia's new capital: can Jokowi find the money? by Borsuk, Richard

“…President Joko Widodo has pushed ahead to launch his most ambitious project – building a new capital from scratch in remote Kalimantan, Borneo. Can Indonesia find the estimated US$32.5 billion needed for building a smart and green city in the jungle?…”
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Dopamine Nation : Finding Balance in the Age of Indulgence / by Lembke, Anna, Dr., author 655980, Penguin Publishing Group (Online service) 655981

“…Most important, it’s about how to find the delicate balance between the two, and why now more than ever finding balance is essential. …”
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Multi-agent path finding (part B) by Cao, Lifeng

“…Multi-Agent Pathfinding (MAPF) is the problem of finding paths efficient collision-free paths for sets of agents with a designated start and end goal. …”
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Finding similar motion across video sequences by Sim, Si Jia.

“…Security threats had always been an issue of concern in global countries and thus, security organizations had been trying to find ways to detect possible threats by the means of CCTVs to take a real time image of the surroundings of the public places. …”
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Design and development of a direction finding system by Li, Yuejun

“…Direction Finding System (DFS) refers to an antenna system for finding the direction of a radio source using any Direction of Arrival (DOA) estimation algorithms. …”
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Finding meaning behind immortality of Anne Rice’s vampires. by Nurhayati Zakaria.

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Present status of communication research in Bangladesh : significant findings by Abdur Rahman

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Assessment research: convergences and divergences in theoreticalframeworks, findings and implications by Sims, D, Pienaar, L, Cilliers, F

Status epilepticus in sub-Saharan Africa: new findings by Newton, CR, Kariuki, SM

Finding bugs inside IoT devices via static analysis by Lim, Gerald Ze Yang

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Direction finding for UWB RFID system in dense cluttered environments by Luo, Yanjia

“…Source direction finding with an antenna array is a major topic in radar-related applications. …”
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Finding common ground on the threshold: an experiment in critical urban learning by Cognetti, Francesca, De Carli, Beatrice

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Finding large additive and multiplicative Sidon sets in sets of integers by Jing, Y, Mudgal, A

The computational complexity of finding stationary points in non-convex optimization by Hollender, A, Zampetakis, M

“…<p>Finding approximate stationary points, i.e., points where the gradient is approximately zero, of non-convex but smooth objective functions f over unrestricted d-dimensional domains is one of the most fundamental problems in classical non-convex optimization. …”