Large language models for closed-library multi-document query, test generation, and evaluation by Claire Randolph, Adam Michaleas, Darrell O. Ricke

“…The AIKIT solution enabled easy use of multiple LLM models with multimodal RAG source documents; AIKIT retains LLM-RAG responses for queries against one or multiple LLM models.DiscussionAIKIT provides an easy-to-use set of tools to enable users to work with complex information using LLM-RAG capabilities. …”
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Data-Driven Modeling of Electric Vehicle Charging Sessions Based on Machine Learning Techniques by Raymond O. Kene, Thomas O. Olwal

“…Thirdly, using ML regression models, we predicted EV energy consumption using four different models of fine tree, linear regression, linear SVM (support vector machine), and neural network. …”
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Enhancing agricultural research with an Attention-Based Hybrid Model for precise classification of rice varieties by Nuzhat Noor Islam Prova

“…To meet these needs, this work presents an Attention-Based Hybrid Model that can accurately and effectively classify Bangladeshi rice varieties. …”
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Automated multi-model framework for malaria detection using deep learning and feature fusion by Osama R. Shahin, Hamoud H. Alshammari, Raed N. Alabdali, Ahmed M. Salaheldin, Neven Saleh

“…A hybrid scheme that combines support vector machine and long short-term memory networks is used for classification. …”
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Cancer predictive model derived from bioimpedance measurements using machine learning methods by José Luis García Bello, Taira Batista Luna, Agustín Garzón Carbonell, Ana de la Caridad Román Montoya, Alcibíades Lara Lafargue, Héctor Manuel Camué Ciria, Yohandys A. Zulueta

“…Conclusion: The classification, phase angle and body mass index predictive models developed in this work are of the great importance to assist the diagnosis, differentiating between healthy and cancer individual with great accuracy. …”
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Building an Egocentric-to-Allocentric Travelling Direction Transformation Model for Enhanced Navigation in Intelligent Agents by Zugang Chen, Haodong Wang

“…Many behavioral tasks in intelligent agent research involve working with mathematical vectors. While traditional methods perform well in some cases, they struggle in complex and dynamic environments. …”
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Kinematics Modeling and Simulation of a Bionic Fish Tail System Based on Linear Hypocycloid by Shu-yan Wang, Jun Zhu, Xin-guo Wang, Qin-feng Li, Hui-yun Zhu

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Optimized machine learning based comparative analysis of predictive models for classification of kidney tumors by Vatsala Anand, Ajay Khajuria, Rupendra Kumar Pachauri, Vinay Gupta

“…These models included Decision Tree, XGBoost Classifier, K-Nearest Neighbors (KNN), Random Forest, and Support Vector Machine (SVM). …”
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Securing IoT-Cloud Applications with AQ-KGMO-DMG Enhanced SVM for Intrusion Detection by Konduru Siva Naga Narasimharao, P. V. Lakshmi

“…Intrusion detection, as a cornerstone of information security, plays a pivotal role in fortifying networks against potential threats, emphasizing the necessity for robust and reliable methods capable of discerning and mitigating network vulnerabilities effectively. In this work, a pioneering network intrusion detection model is introduced, leveraging Adaptive Quantum-Inspired KGMO with Dynamic Molecular Grouping (AQ-KGMO-DMG) for feature selection and employing Simplified Support Vector Machines (SVM) for the classification of intrusion data. …”
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Semi-analytical and numerical simulation of a coinfection model of Malaria and Zika virus disease by E. C. Duru, M. C. Anyanwu, T. N. Nnamani, C. N. Nwosu, G. C. E. Mbah

“… In this work, a model for the coinfection of malaria and zika virus disease is studied. …”
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Multidimensional Model of Sebastian Unger’s Idiostyle in Poetic Creativity: Corpus Analysis and NLP Methods by Tetiana Hromko, Liudmyla Panchuk

“…The study is based on a structured approach to the analysis of authorial style, comprising text certification, thematic modeling, and stylometric evaluation. A subcorpus of Unger’s texts (SPU) was created and subjected to automated processing using such methods as word vectorization (Word2Vec, TF-IDF), topic modeling (LDA, BERT), syntactic and morphological analysis, and emotional modeling (Sentiment Analysis). …”
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An Improved Tunnel-Track Model in Saturated Poroelastic Soils to a Moving Point Load by Zunan Fu, Yuanlei Xu, Zonghao Yuan, Li Shi, Guoshuai Wang, Wenbo Song, Yanming Yu

“…To predict the mechanical response of a circular cavity/tunnel buried in saturated poroelastic soils to a moving point load, a semianalytical model is provided in this work. The soils are governed by Biot’s theory that describes the wave propagations for saturated poroelastic materials. …”
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Development and Evaluation of Neural Network Architectures for Model Predictive Control of Building Thermal Systems by Jevgenijs Telicko, Andris Krumins, Agris Nikitenko

“…These architectures were compared using real monitoring data collected with a custom-developed device introduced in this work. The results indicate that, under the given experimental conditions, the proposed hybrid architecture outperforms both GRU and TCN models, particularly when processing large sequential input vectors.…”
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GS-DTA: integrating graph and sequence models for predicting drug-target binding affinity by Junwei Luo, Ziguang Zhu, Zhenhan Xu, Chuanle Xiao, Jingjing Wei, Jiquan Shen

“…In addition, when dealing with protein structures, some methods ignore the connections between amino acid fragments that are far apart in sequence but may work synergistically in function. Results In this paper, we propose a new method, called GS-DTA, for predicting DTA based on graph and sequence models. …”
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Enhancing Speech Recognition Using Improved Particle Swarm Optimization Based Hidden Markov Model by Lokesh Selvaraj, Balakrishnan Ganesan

“…Enhancing speech recognition is the primary intention of this work. In this paper a novel speech recognition method based on vector quantization and improved particle swarm optimization (IPSO) is suggested. …”
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Developing epidemiological preparedness for a plant disease invasion: Modelling citrus huánglóngbìng in the European Union by John Ellis, Elena Lázaro, Beatriz Duarte, Tomás Magalhães, Amílcar Duarte, Jacinto Benhadi‐Marín, José Alberto Pereira, Antonio Vicent, Stephen Parnell, Nik J. Cunniffe

“…We develop a landscape‐scale, epidemiological model, accounting for heterogeneous citrus cultivation and vector dispersal, as well as climate and disease management. …”
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IM- LTS: An Integrated Model for Lung Tumor Segmentation using Neural Networks and IoMT by Jayapradha J, Su-Cheng Haw, Naveen Palanichamy, Kok-Why Ng, Senthil Kumar Thillaigovindhan

“…With that concern, this work aims to develop an Integrated Model (IM- LTS) for Lung Tumor Segmentation using Neural Networks (NN) and the Internet of Medical Things (IoMT). …”
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Using large language models to learn from recent climate change discourse in public health. by Anna Belova, Raquel A Silva, Dylan M Vorndran, Natalie R Sampson

“…We used a fine-tuned OpenAI GPT-3.5 model to detect abstracts with climate change-related content and the Claude 3.0 Sonnet model to categorize these abstracts into 21 themes and 12 health outcome categories.…”
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Exponential Response Matrix Spectral Nodal Method for the Discrete Ordinates Neutral Particle Transport Model by Iram B. Rivas-Ortiz, Dany Sanchez-Dominguez, Susana Marrero Iglesias, Paulo Eduardo Ambrósio

“…In this work, the response matrix-exponential nodal method is presented to solve fixed source neutral particle transport problems with isotropic scattering and discrete ordinates formulation in two-dimensional Cartesian geometry. …”
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iTAGPred: A Two-Level Prediction Model for Identification of Angiogenesis and Tumor Angiogenesis Biomarkers by Khalid Allehaibi, Yaser Daanial Khan, Sher Afzal Khan

“…Unbalancing of these signals increases blood vessel formation, which causes abnormal growth or several diseases including cancer. The proposed work focuses on developing a two-layered prediction model using different classifiers like random forest (RF), neural network, and support vector machine. …”
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