An Analysis of Consumer Purchase Behavior Following Cart Addition in E-Commerce Utilizing Explainable Artificial Intelligence by Ramazan Esmeli, Aytac Gokce

“…This study incorporates these factors into machine learning models to examine their impacts on predictions using explainable AI techniques. …”
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Smart parking: intelligent intrusion detection system in VANET enabled car parking system by S Vijayalakshmi, S Bose, G Logeswari, N Maheswaran

“…Results indicate that the Long Short-Term Memory (LSTM) model achieved 97% accuracy in detecting DDoS attack.…”
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Vine yield estimation from block to regional scale employing remote sensing, weather, and management data by Pedro C. Towers, Sean E. Roulet, Carlos Poblete-Echeverría

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A Techno-Economic Analysis of Power Generation in Wind Power Plants Through Deep Learning: A Case Study of Türkiye by Ziya Demirkol, Faruk Dayi, Aylin Erdoğdu, Ahmet Yanik, Ayhan Benek

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Smart prediction of rock crack opening displacement from noisy data recorded by distributed fiber optic sensing by Shuai Zhao, Shao-Qun Lin, Dao-Yuan Tan, Hong-Hu Zhu, Zhen-Yu Yin, Jian-Hua Yin

“…To address this challenge, this study proposes a machine learning (ML)-based methodology to complete rock's COD estimation from establishment of a dataset with one-to-one correspondence between strain sequence and COD to the optimization of ML models. …”
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Design and Performance Evaluation of a Self-Propelled Mugwort Harvester for Hilly and Mountainous Regions by Yi Li, Yongsheng He, Kai Zhang, Siqi Wang, Xinyu Hu, Junnan Chen

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Multi-Task Spiking Neural Network for Simultaneous Vapor Recognition and Concentration Estimation by Pedro Sartori Locatelli, Salma Ait Fares, Dalton Martini Colombo, Kamal El-Sankary, Michael S. Freund

“…Multi-task learning using SNNs proves particularly beneficial in this context by utilizing shared computations across tasks to optimize resource usage. Experimental results demonstrate that integrating both tasks into a single network enhances overall computational efficiency and reduces model complexity without sacrificing performance. …”
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Design and Evaluation of ADANet: A High-Fidelity Motion Acquisition Framework for Assistive Gesture-Based Interfaces by Md Ettashamul Haque, Atique Tajwar, Akm Azad, Salem A. Alyami, Md Mehedi Hasan

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Tracking Long-Term Ozone Pollution Dynamics in Chinese Cities with Meteorological and Emission Attribution by Hongrui Li, Xiaoyong Liu, Zijian Liu, Mengyang Li, Tong Wu, Peicheng Li, Peng Zhou

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In-depth analysis of the risk factors for persistent severe acute respiratory syndrome coronavirus 2 infection and construction of predictive models: an exploratory research study by Jia Zhang, Weihua Zhu, Piping Jiang, Feng Ma, Yulin Li, Yuwei Cao, Jiaxin Li, Zhe Zhang, Xin Zhang, Wailong Zou, Jichao Chen

“…This study integrated multi-threshold analysis (14/20/30 days), whole-genome sequencing, and machine learning to investigate diagnostic thresholds for persistent SARS-CoV-2 infection and developed a generalizable risk prediction model. …”
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Feasibility of EfficientDet-D3 for Accurate and Efficient Void Detection in GPR Images by Sung-Pil Shin, Sang-Yum Lee, Tri Ho Minh Le

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An Intrusion Detection System Based on Deep Learning and Metaheuristic Algorithm for IOT by Bahman Sanjabi, Mahmood Ahmadi

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Lesion Volume as a Predictor for Return to Work After Endovascular Treatment: A 4‐Year Prospective Cohort Study by Gisle Berg Helland, Mona Kristiansen Beyer, Brian Anthony B. Enriquez, Hege Ihle‐Hansen, Håkon Ihle‐Hansen, Stein Andersson, Esten Høyland Leonardsen, Helle Stangeland, Bettina Ùjhelyi, Guri Hagberg, Hanne Flinstad Harbo, Anne Hege Aamodt, Einar August Høgestøl

“…We calculated the receiver operating characteristic curve to determine the optimal lesion volume cutoff. Machine learning regression models were used to assess the predictive abilities of baseline clinical and imaging variables for RTW. …”
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Deep learning-based sex estimation of 3D hyoid bone models in a Croatian population using adapted PointNet++ network by Ivan Jerković, Željana Bašić, Ivana Kružić

“…We analyzed 202 hyoid samples (101 male, 101 female), converting CT-derived meshes into 2048-point clouds for processing with an adapted PointNet++ network. The model, optimized for small datasets with 1D convolutional layers and global size features, was first applied in an unsupervised framework. …”
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Existing Line Correction Based on Cuckoo Algorithm by Wenkun WANG

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Condition-Based Maintenance for Degradation-Aware Control Systems in Continuous Manufacturing by Faisal Alsaedi, Sara Masoud

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How Organizational Culture Moderate the Effect of Total Productive Maintenance Practice on Organization’s Operational Performance? Evidences from Indonesian Mining Industry by Nasar Buntu Laulita, Agustinus Setyawan

“… The industry needed a system to support its operation when most of the processes were done by equipment or machines. Total Productive Maintenance (TPM) was a system to ensure all equipment or machines run in optimal performance for long period by fully supported by top management until the bottom level. …”
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A Novel Deep Learning-Based Data Analysis Model for Solar Photovoltaic Power Generation and Electrical Consumption Forecasting in the Smart Power Grid by Camille Franklin Mbey, Felix Ghislain Yem Souhe, Vinny Junior Foba Kakeu, Alexandre Teplaira Boum

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Study on the Effect of Recycled Brass-Filled Epoxy Mould Inserts for Rapid Tooling by Norhafisha Binti Syed Mohd, Shayfull Zamree Abd Rahim, Mohd Hazwan Mohd Hanid, Allan Rennie, Abdellah El-hadj Abdellah, Nor Atikah Binti Zakaria

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GA-AGN: A generative adversarial network and attention gated network model for enhanced lung cancer detection using chest CT scans by Shenson Joseph, Herat Joshi, Meetu Malhotra, Shazia Fathima, Madhao Wagh, Kirankumar Kulkarni, Somya Singh, Onkar Mayekar, Mehedi Hassan

“…Then, the data augmentation is performed using the GAN model that is trained by Elk Herd Optimizer (EHO). …”
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