Early Prediction of Cardio Vascular Disease (CVD) from Diabetic Retinopathy using improvised deep Belief Network (I-DBN) with Optimum feature selection technique by T. K. Revathi, B. Sathiyabhama, S Kaliraj, Vidhushavarshini Sureshkumar

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Multi-exit Kolmogorov–Arnold networks: enhancing accuracy and parsimony by James Bagrow, Josh Bongard

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Loop-mediated isothermal amplification assays for the detection of antimicrobial resistance elements in Vibrio cholera by Daniel Antonio Negrón, Shipra Trivedi, Nicholas Tolli, David Ashford, Gabrielle Melton, Stephanie Guertin, Katharine Jennings, Bryan D. Necciai, Shanmuga Sozhamannan, Bradley W. Abramson

“…Methods We developed an algorithm for the in silico design and evaluation of LAMP assays within the open-source PCR Signature Erosion Tool (PSET) and a computer vision application for the quantitative analysis of colorimetric outputs. …”
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SeedSeg: image-based transgenic seed counting for segregation analysis of T-DNA loci by Santiago Hernández, Vivian Zhong, Jennifer A. N. Brophy

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GIS-based analysis of urban expansion in Wolaita Sodo, South Ethiopia: implications for sustainable development by Mamush Masha, Gemechu Tadila, Elias Bojago

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Risk identification and assessment of Internet public opinion on public emergencies based on Bayesian network and association rule mining by Mengjie You, Xuwei Pan, Chuwen Zhu

“…The core innovation lies in designing an improved scheme based on the CBA (Classification Based on Associations) algorithm to overcome the limitation of traditional association rule mining in handling non-Boolean data, thereby effectively extracting the correlations among public opinion risk factors to optimize the topological structure of the BN. …”
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Afocal Mirror Systems with Small Axial Dimensions by N. K. Artioukhina, L. Peroza

“…In the design, it has always been difficult to combine optimization and cost. Nowadays, the problem remains relevant. …”
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Design of the thermomechanical clamp joint of materials with shape memory effect for unmanned aerial vehicle by Ya. A. Kupriyanova

“…A computer model of joining in CAD Solid Works with the parameters that comply with the structural strength requirements was created. …”
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Robust pose estimation for non-cooperative space objects based on multichannel matching method by Zhaoxiang Zhang, Yuelei Xu, Jianing Song

“…Finally, a pose graph optimization algorithm with a dynamic keyframes pool is designed to estimate the target pose and reduce long-term drifting pose errors. …”
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Non-destructive assessment of hemp seed vigor using machine learning and deep learning models with hyperspectral imaging by Damrongvudhi Onwimol, Pongsan Chakranon, Kris Wonggasem, Papis Wongchaisuwat

“…To simplify the analysis and reduce computational complexity, a subset of key spectral wavelengths was selected using a successive projection algorithm. …”
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Predicting tuberculosis drug properties using extended energy based topological indices via a python driven QSPR approach by Kiran Naz, Hafiz Muhammad Bilal, Muhammad Kamran Siddiqui, Sarfraz Ahmad, Mustafa Ahmed Ali

“…All the calculations are done using Python, and the rigorous algorithmic implementation in the form of matrix formulation and computation of the eigenvalue is also given for reproducibility. …”
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Hybrid Naïve Bayes Models for Scam Detection: Comparative Insights From Email and Financial Fraud by Lebede Ngartera, Mahamat Ali Issaka, Saralees Nadarajah

“…Our empirical results reveal that a strategically optimized Naïve Bayes model can deliver competitive accuracy, while maintaining transparency and computational efficiency—key attributes for real-world fraud prevention systems. …”
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Broiler Behavior Detection and Tracking Method Based on Lightweight Transformer by Haixia Qi, Zihong Chen, Guangsheng Liang, Riyao Chen, Jinzhuo Jiang, Xiwen Luo

“…The FasterNet network based on partial convolution (PConv) was used to replace the Resnet18 backbone network to reduce the computational complexity of the model and to improve the speed of model detection. …”
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Is there a competitive advantage to using multivariate statistical or machine learning methods over the Bross formula in the hdPS framework for bias and variance estimation? by Mohammad Ehsanul Karim, Yang Lei

“…While advanced machine learning methods such as XGBoost can enhance precision, simpler methods such as forward selection or backward elimination may offer similar performance in terms of bias and coverage with fewer computational demands. Tailoring the choice of method to the epidemiological scenario is essential for optimizing the balance between bias reduction and precision.…”
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Three-dimensional visualization of maize roots based on magnetic resonance imaging by Fang Xiaorong, Wang Nanfei, Zhang Jianfeng, Gong Xiangyang, Liu Fei, He Yong

“…Radiant DICOM viewer and Matlab r2009b were employed to preprocess the original slice images, including: 1) gray level transformation of the original gray level images; 2) contourlet transform filtering for noise reduction and image quality enhancement; 3) segmentation through Otsu threshold segmentation algorithm. A procedure to obtain root architecture system of maize was developed by computer image graphics technology. …”
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Temperature Energy Influence Compensation for MEMS Vibration Gyroscope Based on RBF NN-GA-KF Method by Huiliang Cao, Yingjie Zhang, Chong Shen, Yu Liu, Xinwang Wang

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DCE-YOLOv8: Lightweight and Accurate Object Detection for Drone Vision by Jinsu An, Dong Hee Lee, Muhamad Dwisnanto Putro, Byeong Woo Kim

“…Object detection using drones is a sophisticated technology that employs a camera mounted on a drone in conjunction with a computer vision algorithm to pinpoint the precise location of an object and ascertain its type. …”
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Efficient Stereo Visual Odometry on FPGA Featuring On-Chip Map Management and Pipelined Descriptor-Based Block Matching by Yuki Ichikawa, Kazushi Kawamura, Masato Motomura, Thiem van Chu

“…Evaluation using the KITTI dataset shows that our accelerator achieves speedups of up to <inline-formula> <tex-math notation="LaTeX">$3.08\times $ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$2.75\times $ </tex-math></inline-formula> over CPU-only and CPU+GPU implementations of LVT, an optimized algorithm, on an NVIDIA Jetson Nano developer kit B01 4GB, with corresponding energy efficiency improvements of <inline-formula> <tex-math notation="LaTeX">$3.55\times $ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$1.95\times $ </tex-math></inline-formula>. …”
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Edge-Cloud Synergy for AI-Enhanced Sensor Network Data: A Real-Time Predictive Maintenance Framework by Kaushik Sathupadi, Sandesh Achar, Shinoy Vengaramkode Bhaskaran, Nuruzzaman Faruqui, M. Abdullah-Al-Wadud, Jia Uddin

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Spatio-Spectral Structure Tensor Total Variation for Hyperspectral Image Denoising and Destriping by Shingo Takemoto, Kazuki Naganuma, Shunsuke Ono

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