Predictive modeling of ultimate tensile strength in dissimilar friction stir welded aluminum alloys via machine learning approach by Meghavath Mothilal, Atul Kumar

“…It proposes that the utilisation of these models can significantly enhance production processes and optimise material performance in industrial applications. …”
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Software Implementation of the Epps-Pulley Criterion in Matlab Modeling Environment by A. A. Tipikin, A. A. Prusakov, N. A. Timoshenko

“…An assessment of the computational efficiency of the methods showed that the cyclic approach is about three times higher than the matrix-vector approach in terms of consumed time, which is presumably due to the processing of insignificant elements in triangular matrices when performing component-by-component operations. …”
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Authenticity Recognition of Rice Varieties Based on Polarization Imaging Technology by Jie FU, Yue WU

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Identification and determination of resistance to antimycotic factors in yeast clinical isolates during respiratory diseases by Irina S. Andreeva, V. V. Morozova, A. S. Kabanov

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Electric vehicle charging station demand prediction model deploying data slotting by A.V. Sreekumar, R.R. Lekshmi

“…This article performs data-slotting during pre-processing stage and then selects the best among 1-h, 2-h, 3-h and 4-h slots, to frame the feature vectors. …”
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A method for English paragraph grammar correction based on differential fusion of syntactic features. by Weiling Liu, Caijun Zhao, Yongyi Li, Chenglong Cai, Hong Liu, Ruilin Qiu, Ruoci Su, Bingbing Li

“…The new progress of deep learning and natural language processing technology has strongly promoted the development of English grammar error correction. …”
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Un fenomeno pericoloso by Attilio Selvini

“…These new techniques still require solid knowledge of topography and traditional aerial photogrammetry, along with strong skills in using computers and software. With much of the processing now automated, critical decisions—like setting flight parameters, acquiring ground control points, and choosing between vector or orthoprojection methods— directly impact the final outcome. …”
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Multi-stage Optimization Forecast of Short-term Power Load Based on VMD and PSO-SVR by Wenwu LI, Qiang SHI, Dan LI, Qunyong HU, Yun TANG, Jinchao MEI

“…To reduce the non-linearity of the short-term load sequence and improve the prediction accuracy, a short-term load forecasting model based on multi-stage optimization variational mode decomposition (VMD) and particle swarm optimization optimize support vector regression (PSO-SVR) is proposed. In the first stage, VMD optimization and pre-processing of the original load sequence are used to decompose and obtain multiple relatively stable modal components. …”
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An Industry Application of Secure Augmentation and Gen-AI for Transforming Engineering Design and Manufacturing by Dulana Rupanetti, Corissa Uberecken, Adam King, Hassan Salamy, Cheol-Hong Min, Samantha Schmidgall

“…The system is intended for deployment and evaluation in a real-world industrial environment. It utilizes vector embeddings, vector databases, and Approximate Nearest Neighbor (ANN) search algorithms to implement Retrieval-Augmented Generation (RAG), enabling context-aware searches for inventory items and addressing the limitations of traditional text-based methods. …”
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Large Language Models for Knowledge Graph Embedding: A Survey by Bingchen Liu, Yuanyuan Fang, Naixing Xu, Shihao Hou, Xin Li, Qian Li

“…As the superior performance of LLMs becomes apparent, they are increasingly being applied to knowledge graph embedding (KGE)-related tasks to improve the processing results. Traditional KGE representation learning methods map entities and relations into a low-dimensional vector space, enabling the triples in the knowledge graph to satisfy a specific scoring function in the vector space. …”
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Advancing AI in Higher Education: A Comparative Study of Large Language Model-Based Agents for Exam Question Generation, Improvement, and Evaluation by Vlatko Nikolovski, Dimitar Trajanov, Ivan Chorbev

“…Three LLM-based agents—VectorRAG, VectorGraphRAG, and a fine-tuned LLM—are developed and evaluated against a meta-evaluator, supervised by human experts, to assess alignment accuracy and explanation quality. …”
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Pig Detection Algorithm Based on Sliding Windows and PCA Convolution by Longqing Sun, Yan Liu, Shuaihua Chen, Bing Luo, Yiyang Li, Chunhong Liu

“…An accurate and rapid pig detection algorithm based on video image processing technology can be helpful to identify abnormal pigs and take timely measures to reduce the incidence of diseases. …”
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Screening of multi deep learning-based de novo molecular generation models and their application for specific target molecular generation by Yishu Wang, Mengyao Guo, Xiaomin Chen, Dongmei Ai

“…In particular, the emergence of a novel natural language processing (NLP) architecture called the transformer has improved the state-of-the-art performance of existing AI technologies. …”
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Predicting sensory evaluation of spinach freshness using machine learning model and digital images. by Kento Koyama, Marin Tanaka, Byeong-Hyo Cho, Yusaku Yoshikawa, Shige Koseki

“…Herein, the ability of an image processing-based, nondestructive technique to classify spinach freshness was evaluated. …”
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Identification of fungal diseases in strawberry by analysis of hyperspectral images using machine learning methods by A. F. Cheshkova

“…In order to reduce the high dimensionality of the extracted spectral data and to increase the speed of their processing, several subsets of optimal wavelengths were selected. …”
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Quantifying infectious disease epidemic risks: A practical approach for seasonal pathogens. by Alexander R Kaye, Giorgio Guzzetta, Michael J Tildesley, Robin N Thompson

“…For more complex models, such as stochastic host-vector models, the TER can be estimated using model simulations. …”
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Linear-Time Polynomial Holographic Interactive Oracle Proofs with Logarithmic-Time Verification for Rank-1 Constraint System from Lookup Protocol by Shuangjun Zhang

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Landslide Susceptibility Mapping in Darjeeling Himalayas, India by Amit Chawla, Sowmiya Chawla, Srinivas Pasupuleti, A. C. S. Rao, Kripamoy Sarkar, Rajesh Dwivedi

“…Genetic Programming and Particle Swarm Optimization-Support Vector Machine have performed well with respect to overall prediction accuracy and validated the landslide susceptibility model generated in the Geographic Information System environment. …”
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Generative AI extracts ecological meaning from the complex three dimensional shapes of bird bills. by Russell Dinnage, Marian Kleineberg

“…The model is designed to learn a continuous vector representation of 3D shapes, along with a 'decoder' function, that allows the transformation from this vector space to the original 3D morphological space. …”
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Dark matter interactions in white dwarfs: A multi-energy approach to capture mechanisms by Jaime Hoefken Zink, Shihwen Hor, Maura E. Ramirez-Quezada

“…Our study models these inelastic resonant interactions with dark matter and vector or scalar mediators for the very first time. …”
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