LEAF-YOLO: Lightweight Edge-Real-Time Small Object Detection on Aerial Imagery by Van Quang Nghiem, Huy Hoang Nguyen, Minh Son Hoang

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A quantum-optimized approach for breast cancer detection using SqueezeNet-SVM by Anas Bilal, Ali Alkhathlan, Faris A. Kateb, Alishba Tahir, Muhammad Shafiq, Haixia Long

“…The novel Q-BGWO-SQSVM model outperforms the state-of-the-art classification methods and offers accurate and reliable early breast cancer detection, which is essential for further healthcare development.…”
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Automatic detection and tracking the moving objects observed by an unmanned aerial vehicles video camera by R. S. Zhuk

Subjects: “…motion detection…”
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WmFall: WiFi-based multistage fall detection with channel state information by Xu Yang, Fangyuan Xiong, Yuan Shao, Qiang Niu

“…Traditional fall detection systems require to wear special equipment like sensors or cameras, which often brings the issues of inconvenience and privacy. …”
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An Inhibitive Enzyme Assay to Detect Mercury and Zinc Using Protease from Coriandrum sativum by Gunasekaran Baskaran, Noor Azlina Masdor, Mohd Arif Syed, Mohd Yunus Shukor

“…Both Hg2+ and Zn2+ exhibited one-phase binding curve with IC50 values of 3.217 mg/L and 0.727 mg/L, respectively. The limits of detection (LOD) and limits of quantitation (LOQ) for Hg were 0.241 and 0.802 mg/L, respectively, while the LOD and LOQ for Zn were 0.228 and 0.761 mg/L, respectively. …”
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Application of Fractal Analysis in Detecting Trabecular Bone Changes in Periapical Radiograph of Patients with Periodontitis by Parisa Soltani, Sajad Sami, Jaber Yaghini, Ehsan Golkar, Francesco Riccitiello, Gianrico Spagnuolo

“…Fractal analysis is a useful tool for evaluation of bone alterations in moderate and severe periodontitis, but was not able to detect the most initial radiographic bone signs of mild periodontitis.…”
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Lane and Traffic Sign Detection for Autonomous Vehicles: Addressing Challenges on Indian Road Conditions by H. S. Gowri Yaamini, Swathi K J, Manohar N, Ajay Kumar G

“…Accurate and precise detection of lanes and traffic signs is predominant for the safety and efficiency of autonomous vehicles and these two significant tasks should be addressed to handle Indian traffic conditions. …”
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A Hybrid Framework for Detection and Analysis of Leaf Blight Using Guava Leaves Imaging by Sidrah Mumtaz, Mudassar Raza, Ofonime Dominic Okon, Saeed Ur Rehman, Adham E. Ragab, Hafiz Tayyab Rauf

“…Initially, the YCbCr color space was employed as a preprocessing step in detecting leaf blight. As the original dataset was small, data augmentation was performed. …”
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A machine-learning-based hardware-Trojan detection approach for chips in the Internet of Things by Chen Dong, Jinghui Chen, Wenzhong Guo, Jian Zou

“…Therefore, more and more researchers are paying attention to the pre-silicon detection method. In this study, we propose a machine-learning-based hardware-Trojan detection method at the gate level. …”
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Footstep and Vehicle Detection Using Seismic Sensors in Wireless Sensor Network: Field Tests by Gökhan Koç, Korkut Yegin

“…Results from 92 different test configurations were analyzed in terms of detection and classification. Hit and false alarm rates of classification algorithm were formed, and detection ranges were determined based on these results. …”
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Novel Fusion Technique for High-Performance Automated Crop Edge Detection in Smart Agriculture by F. Martinez, James B. Romaine, P. Johnson, A. Cardona Ruiz, Pablo Millan Gata

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Effects of tissue type and season on the detection of regulated sugarcane viruses by high throughput sequencing by Stephen Bolus, Kate Wathen-Dunn, Samuel C. Grinstead, Xiaojun Hu, Martha Malapi, Dimitre Mollov

“…Using HTS on ribosomal depleted total RNA samples, we reliably detected RNA viruses in all tissue types and across all seasons, but we failed to confidently detect DNA viruses in some samples. …”
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Molecular detection of some virulence gene in Proteus mirabilis isolated from chicken and human by Aamer Y. Alchalaby, Balsam Y. Rasheed, Ammar M. Al-AAlim

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Partial Discharge Detection from Large Motor Stator Slots Using EFPI Sensors by Jinlong Wang, Weizhong Sun, Jun Zhou, Lei Wang, Lianfei Chen, Pengcheng Chen, Qichao Chen, Weichao Zhang

“…This study addresses the challenges of electromagnetic interference and unstable signal transmission encountered by traditional sensors in detecting partial discharge (PD) within stator slots of large motors. …”
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Detection of Amitraz Resistance in Rhipicephalus (Boophilus) microplus from SBS Nagar, Punjab, India by N. K. Singh, Abhijit Nandi, Jyoti, S. S. Rath

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Early Detection of Seasonal Outbreaks from Twitter Data Using Machine Learning Approaches by Samina Amin, Muhammad Irfan Uddin, Duaa H. alSaeed, Atif Khan, Muhammad Adnan

“…Providing awareness about seasonal outbreaks through SMA is an effective approach for researchers and healthcare responders to detect the early outbreaks. The proposed model aims to find the sentiment about the disease in tweets, and the seasonal outbreaks-related tweets are classified into two classes as disease positive and disease negative. …”
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FAACOSE: A Fast Adaptive Ant Colony Optimization Algorithm for Detecting SNP Epistasis by Lin Yuan, Chang-An Yuan, De-Shuang Huang

“…Our experimental results show that the proposed method outperforms other methods in epistasis detection, and the result of real dataset contributes to the research of mechanism underlying the disease.…”
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Explanatory LSTM-AE-Based Anomaly Detection for Time Series Data in Marine Transportation by Zhan Wang, Mwamba Kasongo Dahouda, Hyoseong Hwang, Inwhee Joe

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Genetic Artificial Hummingbird Algorithm-Support Vector Machine for Timely Power Theft Detection by Emmanuel Gbafore, Davies Rene Segera, Cosmas Raymond Mutugi Kiruki

“…These findings address important metaheuristic optimization gaps highlighting the model’s potential for power theft detection.…”
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A Design Space Exploration Framework for ANN-Based Fault Detection in Hardware Systems by Andreas G. Savva, Theocharis Theocharides, Chrysostomos Nicopoulos

“…This work presents a design exploration framework for developing a high level Artificial Neural Network (ANN) for fault detection in hardware systems. ANNs can be used for fault detection purposes since they have excellent characteristics such as generalization capability, robustness, and fault tolerance. …”
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