Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction by Saad Ahmed Dheyab, Shaymaa Mohammed Abdulameer, Salama Mostafa

“…Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. The present study proposes an efficient DDoS attack detection model. …”
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Recent advances in machine learning for defects detection and prediction in laser cladding process by X.C. Ji, R.S. Chen, C.X. Lu, J. Zhou, M.Q. Zhang, T. Zhang, H.L. Yu, Y.L. Yin, P.J. Shi, W. Zhang

“…Leveraging data-driven machine learning algorithms enables the monitoring and detection of defects throughout the laser cladding process. …”
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Enhancing wheat yellow rust detection through modified deep learning approach by Shant Kumar, Rohit Singh, Sudheer Kumar, Sandeep Gupta

“…The study reports the effectiveness of machine learning and deep learning (ML/DL) algorithms in detecting yellow rust disease in wheat, keeping in view that early stage detection is crucial for minimizing the crop yield loss. …”
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TPNet: A High-Performance and Lightweight Detector for Ship Detection in SAR Imagery by Weikang Zuo, Shenghui Fang

“…The advancement of SAR satellites enables continuous and real-time ship monitoring on water surfaces regardless of time and weather. Traditional ship detection algorithms in SAR imagery using manually designed operators lack accuracy, while many existing deep learning-based detection algorithms are computationally intensive and have room for accuracy improvement. …”
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FBD-SV-2024: Flying Bird Object Detection Dataset in Surveillance Video by Zi-Wei Sun, Ze-Xi Hua, Heng-Chao Li, Zhi-Peng Qi, Xiang Li, Yan Li, Jin-Chi Zhang

“…These attributes pose challenges that need to be addressed when developing flying bird detection methods for surveillance videos. Finally, advanced (video) object detection algorithms were selected for experimentation on the proposed dataset, and the results demonstrated that this dataset remains challenging for the algorithms above.…”
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Automatic Detection and Correction of Detuned Singing System for Use With Query-By-Humming Applications by Michał LECH

“…Four possible combinations of the algorithms are reviewed in the context of correctness of the fundamental frequency detection and pitch shifting. …”
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Using multiple drug similarity networks to promote adverse drug event detection by Biswajit Padhi, Ruoqi Liu, Yuedi Yang, Xueqiao Peng, Lang Li, Pengyue Zhang, Ping Zhang

“…While post-market spontaneous reports of ADEs remain a cornerstone of pharmacovigilance, most existing signal detection algorithms rely on substantial accumulated data, limiting their applicability to early ADE detection when reports are scarce. …”
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Impact of fine-tuning parameters of convolutional neural network for skin cancer detection by Zaib Unnisa, Asadullah Tariq, Nadeem Sarwar, Irfanud Din, Mohamed Adel Serhani, Zouheir Trabelsi

“…The literature has employed numerous Machine Learning (ML) and Deep Learning (DL) algorithms to detect skin cancer. ML algorithms perform well for small datasets but cannot comprehend larger ones. …”
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A Comprehensive Approach to Rustc Optimization Vulnerability Detection in Industrial Control Systems by Kaifeng Xie, Jinjing Wan, Lifeng Chen, Yi Wang

“…However, the Rustc optimization process may introduce vulnerabilities due to algorithmic flaws or issues arising from component interactions. …”
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Detection of left atrial enlargement in dogs using deep learning in thoracic radiographs by Lucas Auto Lopes, Anaemilia das Neves Diniz, Helio Silva Neto

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Detection of left atrial enlargement in dogs using deep learning in thoracic radiographs by Lucas Auto Lopes, Anaemilia das Neves Diniz, Helio Silva Neto

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The Role of Artificial Intelligence in Enhancing Diabetic Retinopathy Lesion Detection: A Review by Lakshmi K Santhiya, Sargunam B

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Cyberattack detection on SWaT plant industrial control systems using machine learning by Shadi Jaradat, Md Mostafizur Komol, Mohammed Elhenawy, Naipeng Dong

“…Given the imbalanced nature of the dataset, additional metrics such as precision, recall, and F1 score were evaluated, further confirming the LSTM model’s robustness compared to traditional algorithms. This research demonstrates the LSTM network’s effectiveness in enhancing cybersecurity for ICSs and underscores the need for proactive strategies in detecting and mitigating cyber threats.…”
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Performance Evaluation of Neighbors-Based Learning Methods for Network Intrusion Detection System by Ngoc Thien Nguyen

“…Three classification algorithms are implemented, including k-Nearest Neighbors (k-NN), Radius Nearest Classifier (RNC), and Nearest Centroid Classifier (NCC), with the goal of evaluating their effectiveness in detecting cyber-attacks. …”
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Evaluating the Performance and Potential Bias of Predictive Models for Detection of Transthyretin Cardiac Amyloidosis by Jonathan Hourmozdi, MD, MSAI, MA, Nicholas Easton, MSAI, Simon Benigeri, MSAI, James D. Thomas, MD, Akhil Narang, MD, David Ouyang, MD, Grant Duffy, BS, Ross Upton, PhD, Will Hawkes, PhD, Ashley Akerman, PhD, Ike Okwuosa, MD, Adrienne Kline, MD, PhD, Abel N. Kho, MD, Yuan Luo, PhD, Sanjiv J. Shah, MD, Faraz S. Ahmad, MD, MS

“…Objectives: The aim of this study was to compare the performance of 4 algorithms for ATTR-CM detection in a heart failure population and assess the risk for harms due to model bias. …”
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Fish Freshness Detection Through Artificial Intelligence Approaches: A Comprehensive Study by Sabire Kılıçarslan, Meliha Merve Hız Çiçekliyurt, Serhat Kılıçarslan

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OBJECT DETECTION IN COMPUTER VISION SYSTEMS: A VISUAL SALIENCY BASED APPROACH by V. A. Kachurka, K. .. Madani, C. .. Sabourin, V. A. Golovko, P. A. Kachurka

“…This approach can be used in applied tasks of autonomous object detection. Experimental results show viability and efficiency of this approach as compared with state-of-art algorithms, and predict its usability on the broader class of tasks - applied variations of eye fixation problem.…”
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Fault Detection and Classification for Photovoltaic Panel System Using Machine Learning Techniques by Ghalia Nassreddine, Amal El Arid, Mohamad Nassereddine, Obada Al Khatib

“…Consequently, it is imperative to implement efficient methods for the accurate detection and diagnosis of PV system faults to prevent unexpected power disruptions. …”
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Near Miss Detection Using Distancing Monitoring and Distance-Based Proximal Indicators by Lek Ming Lim, Lu Yang, Wen Zhu, Ahmad Sufril Azlan Mohamed, Majid Khan Majahar Ali

“…Despite efforts to improve road safety, accidents persist due to insufficient evidence from manual police reporting, non-optimized detection algorithms, and technical limitations in real-time video processing and modelling. …”
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Transportation Mode Detection Using Learning Methods and Self-Contained Sensors: Review by Ilhem Gharbi, Fadoua Taia-Alaoui, Hassen Fourati, Nicolas Vuillerme, Zebo Zhou

“…Due to increasing traffic congestion, travel modeling has gained importance in the development of transportion mode detection (TMD) strategies over the past decade. Nowadays, recent smartphones, equipped with integrated inertial measurement units (IMUs) and embedded algorithms, can play a crucial role in such development. …”
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