Machine Learning-Based Image Pattern Recognition Using Histogram of Oriented Gradient for Islanding Detection by Kumaresh Pal, Kumari Namrata, Ashok Kumar Akella, Manoj Gupta, Pannee Suanpang, Aziz Nanthaamornphong

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LE-YOLOv5: A Lightweight and Efficient Neural Network for Steel Surface Defect Detection by Chengshun Zhu, Yong Sun, Hongji Zhang, Shilong Yuan, Hui Zhang

“…Due to the influence of manufacturing process and external factors, there will be some undesired defects on the steel surface, which seriously affects the lifetime of steel, and the traditional surface defect detection efficiency and speed are not satisfactory. …”
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Myocarditis Detection Using Proximal Policy Optimization and Mutual Learning by Asadi Srinivasulu, Sivaram Rajeyyagari

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Method for constructing an adaptive suboptimal stationary train traffic controller based on artificial neural networks by S. V. Malakhov, M. Yu. Kapustin

“…The article discusses the process of creating and training an artificial neural network based on model data to solve the problem of suboptimal control. …”
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Heterogeneity-aware device selection for efficient federated edge learning by Yiran Shi, Jieyan Nie, Xingwei Li, Hui Li

“…This rigorous selection process ensures that the participating device set is optimally positioned to balance the dual objectives of training efficiency and model accuracy. …”
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ECG Signal Classification Using Interpretable KAN: Towards Predictive Diagnosis of Arrhythmias by Hongzhen Cui, Shenhui Ning, Shichao Wang, Wei Zhang, Yunfeng Peng

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How Human–Robot Interaction Can Influence Task Performance and Perceived Cognitive Load at Different Support Conditions by Simone Varrasi, Roberto Vagnetti, Nicola Camp, John Hough, Alessandro Di Nuovo, Sabrina Castellano, Daniele Magistro

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Retracted: Efficiency Analysis of Machine Learning Intelligent Investment Based on K-Means Algorithm by Liang Li, Jia Wang, Xuetao Li

“…The results show that Capricorn has a certain randomness in the selection process of the fund, and chooses to reduce the rate of return in order to control the risk. …”
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GEAAD: generating evasive adversarial attacks against android malware defense by Naveed Ahmad, Amjad Saleem Rana, Hassan Jalil Hadi, Faisal Bashir Hussain, Prasun Chakrabarti, Mohammed Ali Alshara, Tulika Chakrabarti

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Combined compression and encryption of linear wireless sensor network data using autoencoders by N. Shylashree, Sachin Kumar, Hong Min

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Breast cancer image classification by using HCNN and LeNet5 by Pramoda Patro, Shaik Honey Fathima, R. Harikishore, Aditya Kumar Sahu

“…However, the time complexity of the available techniques is immense due to the many processes. Additionally, the current research attempts to improve the computation time involved in the detection process. …”
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On the Application of a Sparse Data Observers (SDOs) Outlier Detection Algorithm to Mitigate Poisoning Attacks in UltraWideBand (UWB) Line-of-Sight (LOS)/Non-Line-of-Sight (NLOS) C... by Gianmarco Baldini

“…Such attacks aim to hamper the ML classification process by poisoning the data set. Mitigation techniques are designed to counter this threat using different approaches. …”
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Stochastic Technique on Assigning Adaptive Minimal Code Bits to Locally Frequent Symbols in Continuous Data Stream by Taiki Kato, Shinichi Yamagiwa

“…As increasing demands for recognizing social environment and/or human activity using sensory devices and video cameras, streaming data has become one of major data types. The applications process the data stream and generate new knowledge due to recent AI technologies. …”
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Reliable smart models for estimating frictional pressure drop in two-phase condensation through smooth channels of varying sizes by M. A. Moradkhani, S. H. Hosseini, Mengjie Song, A. Abbaszadeh

“…Hence, after identifying the most effective input variables through the Spearman's correlation analysis, three soft-computing paradigms, i.e., multilayer perceptron (MLP), gaussian process regression (GPR) and radial basis function (RBF) were employed to establish intelligent and dimensionless predictive tools for the FPD based on the separated model suggested by Lockhart and Martinelli. …”
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Stakeholder theory and shareholder theory application in construction field: systematic scoping review by Eunice Achina Agyemang, Innocent Musonda, Sam Zulu

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Coordinating REST interactions in service choreographies using blockchain by Francesco Donini, Alessandro Marcelletti, Andrea Morichetta, Andrea Polini

“…In Service Oriented Computing (SOC), different services interact and exchange information to reach specific objectives. …”
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mTanh: A Low-Cost Inkjet-Printed Vanishing Gradient Tolerant Activation Function by Shahrin Akter, Mohammad Rafiqul Haider

“…Inkjet-printed circuits on flexible substrates are rapidly emerging as a key technology in flexible electronics, driven by their minimal fabrication process, cost-effectiveness, and environmental sustainability. …”
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Performing statistical population reconstruction using Program PopRecon 2.0 by Michael V. Clawson, John R. Skalski, James M. Lady, Christian A. Hagen, Joshua J. Millspaugh, David Budeau, John P. Severson

“…Each statistical population reconstruction model is handcrafted to account for varying levels of available demographic data, hunting regulations, sampling of the harvest process, and biology of the harvested species. PopRecon 2.0 is a software program that facilitates the creation and analysis of these unique demographic models and capable of analyzing either full or pooled age‐at‐harvest data using either fixed or random effects on the annual survival and harvest processes. …”
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YOLO-HPSD: A high-precision ship target detection model based on YOLOv10. by Manlin Zhu, Dezhi Han, Bing Han, Xiaohu Huang

“…This study provides technical support for real-time ship target detection and the development of edge computing devices.…”
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Multi-Paragraph Machine Reading Comprehension with Hybrid Reader over Tables and Text by Sanghyun Cho, SeongReol Park, Hye-Lynn Kim, Jung-Hun Lee, JoongMin Shin, Hyuk-Chul Kwon

“…To address this issue, we introduce the hybrid reader model that can manage both tables and text using a modified K-Adapter architecture for effectively encoding the structured information of tables. The training process infuses knowledge for tabular data into a pre-trained model while retaining its original weights from pre-training. …”
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