Early Detection of Parkinson’s Disease Using AI Techniques and Image Analysis by Marilena Ianculescu, Corina Petean, Virginia Sandulescu, Adriana Alexandru, Ana-Mihaela Vasilevschi

“…Background: Parkinson’s disease (PD) diagnosis benefits significantly from advancements in artificial intelligence (AI) and image processing techniques. This paper explores various approaches for processing hand-drawn Archimedean spirals in order to detect signs of PD. …”
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Segmenting Brain Tumor Detection Instances in Medical Imaging with YOLOv8 by Md Javeed Khan, Mohammed Raahil Ahmed, Mohammed Abdul Aziz Taha, Ruhiat Sultana

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Community Detection in Model-based Testing to Address Scalability: Study Design by Alper Silistre, Onur Kilincceker, Fevzi Belli, Moharram Challenger, Geylani Kardaş

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Malware Evolution and Detection Based on the Variable Precision Rough Set Model by Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said

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Design and Implementation of ESP32-Based Edge Computing for Object Detection by Yeong-Hwa Chang, Feng-Chou Wu, Hung-Wei Lin

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Image Based Detection of Coating Wear on Cutting Tools with Machine Learning by Jan Wolf, Nithin Kumar Bandaru, Martin Dienwiebel, Hans-Christian Möhring

“…Therefore, this research provides an efficient data processing and classification framework for detecting coating wear on cutting tools.…”
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AEA-YOLO: Adaptive Enhancement Algorithm for Challenging Environment Object Detection by Abdulrahman Kariri, Khaled Elleithy

“…To address these issues, we provide an Adaptive Enhancement Algorithm YOLO (AEA-YOLO) framework that allows for an enhancement in each image for improved detection capabilities. A lightweight Parameter Prediction Network (PPN) containing only six thousand parameters predicts scene-adaptive coefficients for a differentiable Image Enhancement Module (IEM), and the enhanced image is then processed by a standard YOLO detector, called the Detection Network (DN). …”
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A Method for Detecting Foreign Objects in Pastries Based on Deep Learning by Haoqi TANG, Jun YANG, Rongchang CHEN

“…During the industrial production of pastries, foreign substances such as plastic and rubber can accidentally enter the processing chain, posing serious risks to consumer health and safety. …”
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Standardized container virtualization approach for collecting host intrusion detection data by Martin Max Röhling, Martin Grimmer, Dennis Kreußel, Jörn Hoffmann, Bogdan Franczyk

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Systems epigenetic approach towards non-invasive breast cancer detection by Chiara M. S. Herzog, Bente Theeuwes, Allison Jones, Iona Evans, Line Bjørge, Michal Zikan, David Cibula, Nadia Harbeck, Nicoletta Colombo, Nora Pashayan, Martin Widschwendter

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Cheating Detection in Online Exams Using Deep Learning and Machine Learning by Bahaddin Erdem, Murat Karabatak

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Detection of Breast Abnormalities of Thermograms based on a New Segmentation Method by Mona A. S. Ali, Gehad Ismail Sayed, Tarek Gaber, Aboul Ella Hassanien, Vaclav Snasel, Lincoln F. Silva

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Optimizing Convolution Operations for YOLOv4-based Object Detection on GPU by Guerrouj Fatima Zahra, Rodríguez Flórez Sergio, El Ouardi Abdelhafid, Abouzahir Mohamed, Ramzi Mustapha

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Bottom Detection Method of Side-Scan Sonar Image for AUV Missions by Huapeng Yu, Ziyuan Li, Dailin Li, Tongsheng Shen

“…In order to obtain the measurement parameters of the sea bottom geomorphology or underwater objects, the first step in side-scan sonar (SSS) image processing is bottom detection. Due to the complexity of the marine environment, the acoustic signals received by SSS are usually polluted by noises, which affect its image quality and make the extraction of image features difficult. …”
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DETECTION OF FRACTURE A CONTOURS ON the image using expandING MASKS by O. G. Shevchuk, V. Yu. Tsviatkou

“…The method of detection of fracture a contours based on extensible binary masks is proposed. …”
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Adaptive Neuro-Fuzzy System for Detection of Wind Turbine Blade Defects by Lesia Dubchak, Anatoliy Sachenko, Yevgeniy Bodyanskiy, Carsten Wolff, Nadiia Vasylkiv, Ruslan Brukhanskyi, Volodymyr Kochan

“…Unmanned aerial vehicles are deployed to photograph the turbines, and these images are beamed back and processed for early defect detection. The proposed adaptive neuro-fuzzy inference system processes the data vectors with lower complexity and higher accuracy. …”
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Deep Learning-Based Real-Time Driver Cognitive Distraction Detection by Matteo Fresta, Francesco Bellotti, Igor Bochenko, Luca Lazzaroni, Gaetan Merlhiot, Fabio Tango, Riccardo Berta

“…Moreover, since cognitive distraction is not a point in time phenomenon, spotting this kind of distraction requires the processing of a certain time interval, which poses a further challenge for real-time performance. …”
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Design of a Heterogeneous-Based Network Intrusion Detection System and Compiler by Zhigui Lin, Xiaofeng Zhang, Qi Liu, Jun Cui

“…With the continuous growth of network traffic scale, traditional software-based intrusion detection systems (IDS) constrained by CPU-processing capabilities struggle to meet the requirements of 100 Gbps high-speed network environments. …”
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Use of Sentinel-2 images for the detection of sandbars along the Lower Vistula by Klaudia Oktawia Kryniecka, Artur Magnuszewski

“…A proper selection of remote sensing index, creation of binary classification and selection of processing algorithm are important when detecting river islands. …”
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A Critical Overview of Common Foodborne Toxicants and Methods for Their Reliable Detection by Betty Bowe Acquah, John‐Lewis Zinia Zaukuu

“…However, toxicants such as mycotoxins, heavy metals, acrylamide, and pesticides can be present in food either naturally or through processing, packaging, or some anthropogenic activities. …”
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