A similarity-based multi-objective test optimization technique using search algorithm by Amir Sohail Habib, Saif Ur Rehman Khan, Shahid Hussain, Naseem Ibrahim, Habib un Nisa, Abdullah Yousafzai

“…Hence, it is required to optimize the test suite by finding a diverse subset of test cases having high code coverage, fault-detection rate, and minimal execution time. Objective:: To solve the regression test optimization problem, the researchers have proposed various approaches including greedy algorithms, search-based algorithms, and clustering algorithms. …”
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Smart Car Damage Assessment Using Enhanced YOLO Algorithm and Image Processing Techniques by Muhammad Remzy Syah Ramazhan, Alhadi Bustamam, Rinaldi Anwar Buyung

“…Recent advancements in artificial intelligence have given rise to a state-of-the-art object detection algorithm, the You Only Look Once algorithm (YOLO), that sets a new standard in smart and automated damage assessment. …”
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A multimodal approach for ADHD with coexisting ASD detection for children by Jungpil Shin, Sota Konnai, Md. Maniruzzaman, Yoichi Tomioka, Yong Seok Hwang, Akiko Megumi, Akira Yasumura

“…This study proposes a novel approach that increase the detection rate and provides new insights for further research.…”
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Automatic Acne Detection Model Based on Improved YOLOv7 by Delong Zhang, Chunyang Jin, Zhidong Zhang, Xiyuan Cao, Chenyang Xue

“…Finally, the initial anchor boxes of YOLOv7 are adjusted by the K-Means algorithm to make the model more suitable for acne detection. …”
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Dynamics of the island mass effect – Part 1: Detecting the extent by G. Bourdin, L. Karp-Boss, L. Karp-Boss, F. Lombard, G. Gorsky, E. Boss

“…These processes include nutrient upwelling and phytoplankton biomass enhancement around islands, creating spatial and temporal heterogeneity in biogeochemical properties. Previous algorithms developed for detecting the IME using satellite data are based on monthly or longer averages of satellite-derived chlorophyll <span class="inline-formula"><i>a</i></span> concentrations. …”
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Integrating Time Series Anomaly Detection Into DevOps Workflows by Gustav Kanahols, Shahriar Hasan, Per Erik Strandberg

“…Additionally, this paper presents a tool for storing, visualizing, monitoring, and integrating anomaly detection algorithms and makes it available to the community. …”
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Machine vision-based automatic fruit quality detection and grading by Amna, Muhammad Waqar AKRAM, Guiqiang LI, Muhammad Zuhaib AKRAM, Muhammad FAHEEM, Muhammad Mubashar OMAR, Muhammad Ghulman HASSAN

“…The prototype consisted of defective fruit detection and mechanical sorting systems. Image processing algorithms and deep learning frameworks were used for detection of defective fruit. …”
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Detecting unknown vulnerabilities in smart contracts using opcode sequences by Peiqiang Li, Guojun Wang, Xiaofei Xing, Xiangbin Li, Jinyao Zhu

“…We then use machine learning algorithms to detect unknown vulnerabilities based on the similarity principle. …”
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Real Time Person Detection and Distance Estimation Using Stereovision by Rachidi Oumayma, Bououlid Idrissi Badr, Ed-Dahmani Chafik

“…Through triangulation techniques involving object detection results, the actual distance estimation algorithm is validated in real-time for a single person. …”
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Enhanced YOLO and Scanning Portal System for Vehicle Component Detection by Feng Ye, Mingzhe Yuan, Chen Luo, Shuo Li, Duotao Pan, Wenhong Wang, Feidao Cao, Diwen Chen

“…The system consists of a scanning portal system and an improved YOLOv12-based detection algorithm which captures images of automotive parts passing through the scanning portal in real time. …”
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Early detection of bacterial pneumonia by characteristic induced odor signatures by Kim Arnold, Alejandro Gómez-Mejia, Miguel de Figueiredo, Julien Boccard, Kapil Dev Singh, Serge Rudaz, Pablo Sinues, Annelies S. Zinkernagel

“…The infection status was confirmed using classical CFU enumeration and tissue histology. The detected VOCs were analyzed using a pre- and post-processing algorithm along with ANOVA and RASCA statistical evaluation methods. …”
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FDN: A Real-Time Ensemble Fire Detection Network by Dong Hwan Shin, Jang Mook Kang, Taesu Cheong

“…Computer vision-based deep learning models have recently been employed in fire detection research. The primary objective of this study is to develop a multiclass fire detection model using images and videos. …”
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Corn-associated weed detection model based on WAAP-YOLO by Zhiyong MENG, Yawei JIA, Xiuqing ZHANG, Yongjing NI, Ming ZHANG, Qi WU, Chenxi WU

“…Experimental results show that the WAAP-YOLO detection algorithm achieves 97.2% mAP@0.5, 85.8% mAP@0.5∶0.95, 94.0% F1 score, and a parameter count of 2.1×106, outperforming common object detection models such as YOLOv5s, YOLOv8n, and YOLOv10n. …”
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Porosity Characterization of Thermal Barrier Coatings by Ultrasound with Genetic Algorithm Backpropagation Neural Network by Shuxiao Zhang, Gaolong Lv, Shifeng Guo, Yanhui Zhang, Wei Feng

“…In this study, the ultrasonic technique and the artificial neural network optimized with the genetic algorithm (GA_BPNN) are combined to develop an intelligent method for automatic detection and accurate prediction of TBCs’s porosity. …”
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A Fast Image Segmentation Algorithm Based on Saliency Map and Neutrosophic Set Theory by Sensen Song, Zhenhong Jia, Jie Yang, Nikola K. Kasabov

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Efficient Fourth-Order PSTD Algorithm with Moving Window for Long-Distance EMP Propagation by Yongli Wei, Baofeng Cao, Zongxiang Li, Tianchi Zhang, Changjiao Duan, Xiao Li, Xiaoqiang Li, Peng Li

“…To overcome the difficulties, a fourth-order PSTD algorithm incorporating the moving window technique (MWPSTD-4) is proposed. …”
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Algorithm for non-invasive diagnosis of obliterating coronary atherosclerosis based on imaging and laboratory markers by O. M. Drapkina, V. A. Metelskaya, M. V. Dubinskaya, E. B. Yarovaya

“…The sequential passage of algorithm steps by the patient increases the detection rate of coronary atherosclerosis of any degree by 12,2 times, and by 13,8 times in case of severe involvement.Conclusion. …”
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Heart Disease Prediction Using Ensemble Tree Algorithms: A Supervised Learning Perspective by Enoch Sakyi-Yeboah, Edmund Fosu Agyemang, Vincent Agbenyeavu, Akua Osei-Nkwantabisa, Priscilla Kissi-Appiah, Lateef Moshood, Lawrence Agbota, Ezekiel N. N. Nortey

“…Therefore, early prediction and detection are critical, leading to timely and appropriate interventions at early stages. …”
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Optimizing micro cold storage for detecting stale food and fruits by Arun Sreelekha, Amit Wagle Shivali, Nambiar Prahas, Panalkar Pratham, Ekka Prince, Kumar Vaibhav, Dhiman Harsh, Roy Anindita

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Using Attention for Improving Defect Detection in Existing RC Bridges by Sergio Ruggieri, Angelo Cardellicchio, Andrea Nettis, Vito Reno, Giuseppina Uva

“…Visual explanations achieved via the Eigen-CAM algorithm were also exploited to evaluate the reliability of the predictions. …”
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