Parallel Simplex Method Improvements by Bashir Salih, Muhammad Ali

“…Most of these models are time consuming when executed and processed in the sequential microprocessor computers. …”
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Toward a Blood Sensor for an IoT Monitoring: A New Approach for the Design and Implementation of Blood Light Absorption Systems Based on the Finite Element Method and the Diffusion... by Mouna Dhmiri, Yassine Manai, Tahar Ezzedine

“…The mesh generation process adapts to the target architecture using COMSOL Multiphysics for fluid–structure interaction (FSI) modeling. …”
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UAV-based estimation of post-sowing rice plant density using RGB imagery and deep learning across multiple altitudes by Trong Hieu Luu, Thanh Tam Nguyen, Quang Hieu Ngo, Huu Cuong Nguyen, Phan Nguyen Ky Phuc

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A survey of acoustic eavesdropping attacks: Principle, methods, and progress by Yiwei Chen, Wenhao Li, Xiuzhen Cheng, Pengfei Hu

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Sports data analysis of track and field athletes based on IID-OPK and NonIID-OPK algorithms by Xiaofeng Chen

“…Therefore, the research introduces the Independent and Identically Distributed (IID) and Non-Independent and Identically Distributed (NonIID) ideas based on the K-means algorithm to optimize the data analysis process. The study used a training dataset from a track and field team under the Shandong Provincial Sports Bureau in China over the past two years (2022–2024). …”
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Humans account for cognitive costs when finding shortcuts: An information-theoretic analysis of navigation. by Gian Luca Lancia, Mattia Eluchans, Marco D'Alessandro, Hugo J Spiers, Giovanni Pezzulo

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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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Multiple-Feature Construction for Image Segmentation Based on Genetic Programming by David Herrera-Sánchez, José-Antonio Fuentes-Tomás, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, José-Luis Morales-Reyes

“…Within the medical field, computer vision has an important role in different tasks, such as health anomaly detection, diagnosis, treatment, and monitoring medical conditions. …”
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PLASMA-Privacy-Preserved Lightweight and Secure Multi-level Authentication scheme for IoMT-based smart healthcare by Hegde Manjunath, M. Karthik, Hegde Varun, Rao Rohini R., Mantoor Vinayak M., Bhat Radhakrishna

“…The Internet of Medical Things has enabled the development of smart healthcare systems, allowing users to collect, process, and transmit patient health data to cloud servers for further analysis. …”
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RCFGL: Rapid Condition adaptive Fused Graphical Lasso and application to modeling brain region co-expression networks. by Souvik Seal, Qunhua Li, Elle Butler Basner, Laura M Saba, Katerina Kechris

“…Inferring gene co-expression networks is a useful process for understanding gene regulation and pathway activity. …”
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Reconstructing the dynamics of HIV evolution within hosts from serial deep sequence data. by Art F Y Poon, Luke C Swenson, Evelien M Bunnik, Diana Edo-Matas, Hanneke Schuitemaker, Angélique B van 't Wout, P Richard Harrigan

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G-OnRamp: Generating genome browsers to facilitate undergraduate-driven collaborative genome annotation. by Luke Sargent, Yating Liu, Wilson Leung, Nathan T Mortimer, David Lopatto, Jeremy Goecks, Sarah C R Elgin

“…Despite advances in computational gene prediction algorithms, most eukaryotic genomes still benefit from manual gene annotation. …”
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A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A(H3N2) viruses. by William T Harvey, Vinny Davies, Rodney S Daniels, Lynne Whittaker, Victoria Gregory, Alan J Hay, Dirk Husmeier, John W McCauley, Richard Reeve

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Basketball teaching methods based on 3D-Convolutional neural network by Chao Huang, Xian Wu

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Impact of ligand binding on VEGFR1, VEGFR2, and NRP1 localization in human endothelial cells. by Sarvenaz Sarabipour, Karina Kinghorn, Kaitlyn M Quigley, Anita Kovacs-Kasa, Brian H Annex, Victoria L Bautch, Feilim Mac Gabhann

“…We show that VEGFR2 trafficking is altered in response to ligand binding, but that trafficking of VEGFR1 is not; we also show that the altered trafficking can be explained by a single mechanistic process, increased internalization of the VEGFR2 receptor when bound to ligand; other processes are unaffected. …”
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A novel machine learning based approach for iPS progenitor cell identification. by Haishan Zhang, Ximing Shao, Yin Peng, Yanning Teng, Konda Mani Saravanan, Huiling Zhang, Hongchang Li, Yanjie Wei

“…In this paper, we propose a novel computational approach for the identification of iPS progenitor cells based on machine learning and microscopic image analysis. …”
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CINner: Modeling and simulation of chromosomal instability in cancer at single-cell resolution. by Khanh N Dinh, Ignacio Vázquez-García, Andrew Chan, Rhea Malhotra, Adam Weiner, Andrew W McPherson, Simon Tavaré

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Supervised learning and resampling techniques on DISC personality classification using Twitter information in Bahasa Indonesia by Ema Utami, Irwan Oyong, Suwanto Raharjo, Anggit Dwi Hartanto, Sumarni Adi

“…A pure natural language processing (NLP) approach can give decent results, and its reliability can be improved by combining it with machine learning (as shown by previous studies). …”
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A new approach to Health Benefits Package design: an application of the Thanzi La Onse model in Malawi. by Margherita Molaro, Sakshi Mohan, Bingling She, Martin Chalkley, Tim Colbourn, Joseph H Collins, Emilia Connolly, Matthew M Graham, Eva Janoušková, Ines Li Lin, Gerald Manthalu, Emmanuel Mnjowe, Dominic Nkhoma, Pakwanja D Twea, Andrew N Phillips, Paul Revill, Asif U Tamuri, Joseph Mfutso-Bengo, Tara D Mangal, Timothy B Hallett

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NeuBridge: bridging quantized activations and spiking neurons for ANN-SNN conversion by Yuchen Yang, Jingcheng Liu, Chengting Yu, Chengyi Yang, Gaoang Wang, Aili Wang

“…Spiking neural networks (SNNs) offer a promising avenue for energy-efficient computations on neuromorphic hardware, leveraging the unique advantages of spike-based signaling. …”
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