Enhanced Anomaly Detection in IoT Networks Using Deep Autoencoders with Feature Selection Techniques by Hamza Rhachi, Younes Balboul, Anas Bouayad

“…Moreover, the network that interconnected IoT devices uses advanced communications norms and technologies to capture and transmit data. Still, these networks are subject to various types of attacks that will lead to the loss of user data. …”
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Sensitivity Analysis of Long Short-Term Memory-Based Neural Network Model for Vehicle Yaw Rate Prediction by János Kontos, László Bódis, Ágnes Vathy-Fogarassy

“…Our research aimed to determine the minimum amount of data required for effective model training and to conduct a comprehensive sensitivity analysis, examining the performance and applicability of the trained model under varying tire pressures, different passenger loads, and different passenger configurations. …”
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A Fuzzy Neural Network-Based Intelligent Prediction Model for Useful Lifespan of Lithium-Ion Batteries by Yaowei Xu, Zhenxing Hao, Wei Li, Angang Cao

“…The study first analyzed the application of existing neural network models in predicting the service life of lithium batteries. …”
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Impact of adopting industry 4.0 practices and technologies on time and motion study: a pilot study revealing efficiency gains in a multi-operation workstation by Cristiano Jesus, Ivan Amorim, Eduardo Pontes, Sandra Gonçalves, Azin Moradbeikie, Sérgio Lopes

“…This article presents a time and motion study tool, that migrate from a descriptive approach to one based on data analysis. It presents the engineering design, its application, the analysis of the results obtained in a pilot study, the results of the validation procedure and the theoretical framework in operations management. …”
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Manufacturing cycle prediction using structural equation model toward industrial early warning system simulation: The Indonesian case by Tirta Wisnu Permana, Gatot Yudoko, Eko Agus Prasetio

“…This research effectively supports the application of PLS-SEM in forecasting the ManC in Indonesia.…”
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La fecundidad en la ciudad de Rosario, Argentina: proyecciones y retroproyecciones de la tasa global de fecundidad y las tasas específicas de fecundidad by Lucía Andreozzi, Nora Ventroni

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How does artificial intelligence shape the productivity and quality of research in business studies? A systematic literature review and future research framework by Sugandha Agarwal, Qian Long Kweh, Dima Jamali, Walton Wider, Syed Far Abid Hossain, Muhammad Ashraf Fauzi

“…While we acknowledge limitations related to data usage and the generalizability of our reviews, especially given the rapid evolution of AI technologies, we recommend that researchers effectively integrate AI into their research activities and establish ethical frameworks for its application. …”
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THE IMPACT OF THE DIGITAL REVOLUTION ON FUTURE FIGHTER PILOT TRAINING by Ilie Claudiu MICLAUS MORARESCU

“…Key innovations include virtual and augmented reality, big data analytics, an understanding of cortex development from a young age, the application of the athlete model, and a marked shift from legacy approaches to tech training methodologies. …”
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Software analysis of scientific texts: comparative study of distributed computing frameworks by Serik Altynbek, Gabit Shuitenov, Madi Muratbekov, Alibek Barlybayev

“…They support both batch and streaming data processing and guarantee processing “exactly once”. …”
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Research on floating object classification algorithm based on convolutional neural network by Jikai Yang, Zihan Li, Ziyan Gu, Wei Li

“…This is a 10.09% improvement over the traditional VGG-16 model and a 4.91% increase compared to the model without data augmentation, demonstrating the effectiveness of model improvements and data augmentation in enhancing image recognition capabilities. …”
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Universal metrics for predicting the activity of a wide range of fuel-cell catalysts by Ganesan Elumalai, Satoshi Tominaka

“…Conventional methods relying on data obtained at a fixed potential are inadequate due to variable contributions of mass transport among the different materials. …”
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Improving Classification Performance by Addressing Dataset Imbalance: A Case Study for Pest Management by Antonello Longo, Maria Rizzi, Cataldo Guaragnella

“…Imbalanced data are a non-trivial problem in deep learning. …”
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Enhanced Prediction and Evaluation of Hydraulic Concrete Compressive Strength Using Multiple Soft Computing and Metaheuristic Optimization Algorithms by Tianyu Li, Xiamin Hu, Tao Li, Jie Liao, Lidan Mei, Huiwen Tian, Jinlong Gu

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ASIP Performance Enhancement by Hazard Control through Scoreboard by Xinbing Zhou, Yi Man, Peng Hao, Wei Chen, Bo Yang, Baoguo Ding, Dake Liu

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Detection of Cisplatin Resistance in Bladder Cancer Using Machine Learning by Moditha Reddy Jagannatha Reddy, Mrudula Ranganatha, Shanthala Lakshminarayana, Jayoung Kim, Sungyong Jung, Yuze Sun, Hyusim Park

“…By analyzing large-scale genomic data, we uncover the molecular pathways driving resistance. …”
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Legal regulation of AI-assisted academic writing: challenges, frameworks, and pathways by Runyang Gao, Danghui Yu, Biao Gao, Heng Hua, Zhaoyang Hui, Jingquan Gao, Cha Yin

“…IntroductionThe widespread application of artificial intelligence in academic writing has triggered a series of pressing legal challenges.MethodsThis study systematically examines critical issues, including copyright protection, academic integrity, and comparative research methods. …”
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Waveshift Augmentation: A Physics-Driven Strategy in Fine-Grained Plant Disease Classification by Gent Imeraj, Hitoshi Iyatomi

“…However, the necessity for meticulous data segmentation by origin and the demand for extensive data collection lead to performance degradation in even state-of-the-art models. …”
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Innovative Approaches to Ensuring Cybersecurity and Public Safety: The Socio-Economic Dimension

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Understanding and Addressing Variability Through Recalibration in a Brain–Computer Interface for Intelligent Vehicle Control Using Long-Term Implanted Human Neural Data: A C... by Yicong Xiao, Spencer Kellis, Christopher. F Reiche, Florian Solzbacher

“…Even when trained on sufficient neural data, the performance of a brain-computer interface (BCI) is susceptible to error due to both systematic and random noise. …”
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A deep transfer learning model for green environment security analysis in smart city by Madhusmita Sahu, Rasmita Dash, Sambit Kumar Mishra, Mamoona Humayun, Majed Alfayad, Mohammed Assiri

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