SH-SDS: a new static-dynamic strategy for substation host security detection by Yang Diao, Hui Chen, Wei Liu, Abdur Rasool

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Enhanced Peer-to-Peer Botnet Detection Using Differential Evolution for Optimized Feature Selection by Sangita Baruah, Vaskar Deka, Dulumani Das, Utpal Barman, Manob Jyoti Saikia

“…Apart from that, an ensemble learning algorithm is also employed to support and enhance the detection phase, providing a robust defense against the dynamic and sophisticated nature of modern P2P botnets. …”
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Enhancing Agricultural Disease Detection: A Multi‐Model Deep Learning Novel Approach by Muhammad Khalid Hamid, Said Khalid Shah, Ghassan Husnain, Yazeed Yasin Ghadi, Shahab Ahmad Al Maaytah, Ayman Qahmash

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Leveraging explainable artificial intelligence for early detection and mitigation of cyber threat in large-scale network environments by G. Nalinipriya, S. Rama Sree, K. Radhika, E. Laxmi Lydia, Faten Khalid Karim, Mohamad Khairi Ishak, Samih M. Mostafa

“…Additionally, the Hiking Optimization Algorithm (HOA) is employed to fine-tune the hyperparameters of the SDAE model. …”
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Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles by Naif Almakayeel

Subjects: “…Android malware detection…”
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Boosting Cyberattack Detection Using Binary Metaheuristics With Deep Learning on Cyber-Physical System Environment by Alanoud Al Mazroa, Fahad R. Albogamy, Mohamad Khairi Ishak, Samih M. Mostafa

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A Statistical Framework to Detect and Quantify Operator-Learning Curves in Medical Device Safety Evaluation by Ssemaganda HC, Davis SE, Govindarajulu US, Koola JD, Mao J, Westerman DM, Perkins AM, Speroff T, Ramsay CR, Sedrakyan A, Ohno-Machado L, Matheny ME, Resnic FS

“…The study blinded the analysis team to the data-generation process.Methods: We developed predictive models using generalized additive models and estimated LC parameters using the Levenberg-Marqualdt algorithm. We evaluated the performance using sensitivity, specificity, and likelihood ratio (LR) in detecting the presence of LE and, if present, the goodness-of-fit of the estimated LC based on the root-mean squared error.Results: Among the 2483 simulated datasets, the median (IQR) number of cases was 218,000 (116,000– 353,000). …”
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Structural Damage Identification Using Novel Objective Functions and Metaheuristic Algorithms by Moeinoddin Rokhsati, Mohamad Mohamadi Dehcheshmeh, Gholamreza Ghodrati Amiri, Morteza Raissi Dehkordi

“…Moreover, three metaheuristic optimization algorithms (EO, Jaya, and TLBO) were implemented to execute the model updating process. …”
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Intelligent detection methods for miniature defects in metallic materials by Chuan-Hao Liu, Wei-Lun Lin, Fan-Shuo Tseng

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Secure Biometric Identification Using Orca Predators Algorithm With Deep Learning: Retinal Iris Image Analysis by Louai A. Maghrabi, Mohammed Altwijri, Sami Saeed Binyamin, Fouad Shoie Alallah, Diaa Hamed, Mahmoud Ragab

Subjects: “…Biometric detection…”
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Optimizing credit card fraud detection with random forests and SMOTE by P. Sundaravadivel, R. Augustian Isaac, D. Elangovan, D. KrishnaRaj, V. V. Lokesh Rahul, R. Raja

Subjects: “…Credit card fraud detection…”
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Fault Detection System of Photovoltaic Based on Artificial Neural Network by Ali Salman Zamzeer, Mansour S. Farhan, Haider TH. ALRikabi

Subjects: “…fault detection and diagnosis (FDD); AI Algorithms; photovoltaic (PV) systems; Artificial Neural Network (ANN).…”
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Amoeba Based Novel Post-Processing Algorithm for Industrial Computed Tomography Scans Enhancement by Umar Talha, Waleed Bin Yousuf, Tariq Mairaj

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Fast moving table tennis ball tracking algorithm based on graph neural network by Tianjian Zou, Jiangning Wei, Bo Yu, Xinzhu Qiu, Hao Zhang, Xu Du, Jun Liu

“…In table tennis, due to the small size and rapid motion of the ball, identifying and tracking the table tennis ball through video is a particularly arduous task, where the majority of existing detection and tracking algorithms struggle to meet the practical application requirements in real-world scenarios. …”
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Implementing Anomaly-Based Intrusion Detection for Resource-Constrained Devices in IoMT Networks by Georgios Zachos, Georgios Mantas, Kyriakos Porfyrakis, Jonathan Rodriguez

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Malicious software identification based on deep learning algorithms and API feature extraction by Wei Sun

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Enhancing Camera Source Identification: A Rapid Algorithm with Enhanced Discriminative Power by Zhimao Lai, Lijuan Cheng, Renhai Feng

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Research of neural network algorithms for recognizing railway infrastructure objects in video images by E.V. Medvedeva, A.A. Perevoshchikova

Subjects: “…object detection…”
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A novel lightweight deep learning framework using enhanced pelican optimization for efficient cyberattack detection in the Internet of Things environments by Yaozhi Chen, Yan Guo, Yun Gao, Baozhong Liu

“…To counter these challenges, the current study proposes a hybrid model incorporating an efficient convolutional neural network (CNN) and an enhanced pelican optimization algorithm (EPOA) to detect IoT network attacks. Inspired by how pelicans hunt, EPOA maximizes CNN’s hyperparameters and feature selection for higher accuracy and efficiency in computation. …”
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Analysis of Possibilities to Automate Detection of Unscrupulous Microfinance Organizations based on Machine learning Methods by Yu. M. Beketnova

“…The author carried out a comparative analysis of the results obtained by classification methods — the logistic regression method, decision trees (algorithms of two-class decision forest, Adaboost), support vector machine (algorithm of two-class support vector machine), neural network methods (algorithm of two-class neural network), Bayesian networks (algorithm of two-class Bayes network). …”
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