Elevating Accuracy: Enhanced Feature Selection Methods for Type 2 Diabetes Prediction by Ghazaleh Kakavand Teimoory, MohammadReza Keyvanpour

“…Classified into Type 1, Type 2, and Gestational diabetes, its impact spans diverse demographics, with Type 2 diabetes being particularly concerning due to cellular insulin deficiencies. …”
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Automatic Feature Engineering-Based Optimization Method for Car Loan Fraud Detection by Jian Yang, Zixin Tang, Zhenkai Guan, Wenjia Hua, Mingyu Wei, Chunjie Wang, Chenglong Gu

“…Problems like feature dimension explosion, low interpretability, long training time, and low detection accuracy are solved by compressing abstract and uninterpretable features to limit the depth of DFS algorithm. …”
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3D Object Detection Based on Graph Network Fusion Sampling Strategy by LI Wenju, CHEN Zhilin, QU Jiantao, CUI Liu, CHU Wanghui, GAO Hui

“…In response, this paper proposes a 3D object detection algorithm based on fusion sampling and graph networks. …”
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Approximating Dynamic Equilibrium Analysis in Multi-Region Network Based on Macroscopic Fundamental Diagram by Bo Liu, Yanqing Cen, Xianghui Song

“…The proposed model is evaluated based on the high-resolution vehicle trajectory data (or connected vehicles trajectory data) from the DiDi platform collected in Chengdu, China with more than 3,000,000 GPS points during a typical workday. …”
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Enhanced Pedestrian Dead Reckoning Sensor Fusion for Firefighting by Tobias Augustin, Daniel Ossmann

“…One of the most common techniques in PDR is step-detection. Applications like firefighting, however, also involve dynamic movements like crouching. …”
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Machine Learning and Deep Learning for Crop Disease Diagnosis: Performance Analysis and Review by Habiba Njeri Ngugi, Andronicus A. Akinyelu, Absalom E. Ezugwu

“…This paper presents a review of machine learning (ML) and deep learning (DL) techniques for crop disease diagnosis, focusing on Support Vector Machines (SVMs), Random Forest (RF), k-Nearest Neighbors (KNNs), and deep models like VGG16, ResNet50, and DenseNet121. …”
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Driving Pattern Analysis, Gear Shift Classification, and Fuel Efficiency in Light-Duty Vehicles: A Machine Learning Approach Using GPS and OBD II PID Signals by Juan José Molina-Campoverde, Juan Zurita-Jara, Paúl Molina-Campoverde

“…Such integration could optimize gear shift timing based on dynamic factors like road conditions, traffic density, and driver behavior, ultimately contributing to improved fuel efficiency and overall vehicle performance.…”
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Advanced leukocyte classification using attention mechanisms and dual channel U-Net architecture by Gauri Kalnoor, Vijayalaxmi Kadrolli

“…Abstract Leukocytes or white blood cells plays an important role in protecting the body from various contagious diseases and infectious agents. Different conventional leukocyte analysis approaches often face several problems like inaccuracies, demanding the need for sophisticated approaches to improve diagnostic precision. …”
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Machine learning approach for 2D abrasion mapping in Sediment Bypass Tunnels: a case study of Koshibu SBT, Japan by Ahmed Emara, Sameh A. Kantoush, Mohamed Saber, Tetsuya Sumi, Vahid Nourani, Emad Mabrouk

“…The abrasion inventory map, consisting of over 1 million data points indicating damaged and non-damaged sites, was divided equally for training and testing the XGBoost algorithm. …”
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An Advanced Auxiliary Delay-Weight Particle Filter with Linear Computation Cost by Chen Li, Lin Sun, Zengwei Zheng, Dan Chen

“…We make a deep study on the evolvement of particles and formally define the tree-like structure relationship among particles based on observations. …”
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Design, Optimization and Prototype of a Multi-Phase Fractional Slot Concentrated Windings Surface Mounted on Permanent Magnet Machine by Amir Nekoubin, Jafar Soltani, Milad Dowlatshahi

“…The machine design objectives are to minimize mass and loss, subsequently, to determine the best choice of the designed machine parameters. …”
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The Design Method of Enhanced Unscented Kalman Filter Considering UT Transform Truncation Error by Ziran Luo, Chenglin Wen

“…We developed an improved UKF method that uses this error estimate. …”
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Development of High Accuracy Classifier for the Speaker Recognition System by Raghad Tariq Al-Hassani, Dogu Cagdas Atilla, Çağatay Aydin

“…In order to enhance noise immunity, we proposed a single hidden layer feed-forward neural network (FFNN) tuned by an optimized particle swarm optimization (OPSO) algorithm. The proposed model is tested using 10-fold cross-validation over different levels of Adaptive White Gaussian Noise (AWGN) (0-50 dB). …”
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Reliability-Based Topology Optimization Considering Overhang Constraints for Additive Manufacturing Design by Fahri Murat, Irfan Kaymaz, Abdullah Tahir Şensoy

“…RBTO addresses uncertainties in design variables to enhance reliability. This research investigates build direction parameter solutions using deterministic and RBTO algorithms. …”
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A Hybrid Machine Learning Model for Accurate Autism Diagnosis by Durga Prasad Kavadi, Venkata Rami Reddy Chirra, Palacharla Ravi Kumar, Sai Babu Veesam, Sagar Yeruva, Lalitha Kumari Pappala

“…The healthcare industry faces significant challenges in managing and processing large volumes of unstructured, real-time medical data. As such, there is a growing need for advanced techniques to handle complex data in the diagnosis of disorders like Autism Spectrum Disorder (ASD). …”
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From Brain to Blood: Uncovering Potential Therapeutical Targets and Biomarkers for Huntington’s Disease Using an Integrative RNA-Seq Analytical Platform (BDASeq^®) by João Rafael Dias Pinto, Benedito Faustinoni Neto, Luciana Munhoz, Irina Kerkis, Rodrigo Pinheiro Araldi

“…Differential expression analysis (DEA) coupled with machine learning algorithms were coupled to identify differentially expressed genes (DEGs) and potential biomarkers in HD. …”
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A simple yet effective approach for predicting disease spread using mathematically-inspired diffusion-informed neural networks by ByeongChang Jeong, Yeon Ju Lee, Cheol E. Han

“…GCNs are a recent deep learning algorithm designed to learn spatial relationship from graph-structured data. …”
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Traffic Conflict Prediction for Sharp Turns on Mountain Roads Based on Driver Behavior Patterns by Quanchen Zhou, Jiabao Zuo, Yafei Zhao, Mingwu Ren

“…A predictive LSTM neural network model was developed with driver, vehicle, road, and environmental factors. …”
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Nav2Scene: Navigation-driven fine-tuning for robot-friendly scene generation by Bowei Jiang, Tongyuan Bai, Peng Zheng, Tieru Wu, Rui Ma

“…The integration of embodied intelligence in indoor scene synthesis holds significant potential for future interior design applications. Nevertheless, prevailing methodologies for indoor scene synthesis predominantly adhere to data-driven learning paradigms. …”
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Method for constructing occupancy grid maps based on navigation radar echo video data by Kunyi JIANG, Shiping SUN, Bingdong JIANG, Qing CAI

“…During this process, neighboring tracks are aggregated based on group adjacency to mitigating trajectory deviation caused by target splitting. …”
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