Pedestrian-Crossing Detection Enhanced by CyclicGAN-Based Loop Learning and Automatic Labeling by Kuan-Chieh Wang, Chao-Li Meng, Chyi-Ren Dow, Bonnie Lu

“…Through this iterative process, the model progressively refines its ability to simulate and recognize diverse contextual features, thereby enhancing detection performance under varying environmental conditions. …”
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Clinical Impact of an AI Decision Support System for Detection of Intracranial Hemorrhage in CT Scans by David Bark, Julia Basu, Dimitrios Toumpanakis, Johan Burwick Nyberg, Tomas Bjerner, Elham Rostami, David Fällmar

“…The index test was AI detection by the program Zebra Medical Vision—HealthICH+. …”
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Application of the Genetic Algorithm in the Network Intrusion Detection System Using NSL-KDD Data by Naglaa Ibrahim, Hana Usman

“…IDS have  two approaches depending on the detecting theories: Misuse Detection and Anomaly Detection. …”
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Detection of bimodal survivin expressions in canine cancer types by flow cytometry compared to immunohistochemistry by Shohei Tsumoto, Kyoichi Tamura, Yuta Nakazawa, Michio Fujita, Kozo Ohkusu-Tsukada

“…In a case of canine cancer disease, it was confirmed that survivin expression patterns can be detected via FCM using needle biopsy samples in actual clinical settings. …”
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Machine Learning-Potato Leaf Disease Detection App (MR-PoLoD) by Ahmad Fauzi, Annisya E Chandra, Sofyah Imammah, Malvin Zapata, Marza I Marzuki, Soni Prayogi

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Detecting Fraudulent Transaction in Banking Sector Using Rule-Based Model and Machine Learning by Cut Dinda Rizki Amirillah

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Daytime Equatorial Spread F‐Like Irregularities Detected by HF Doppler Receiver and Digisonde by B. Olugbon, E. O. Oyeyemi, A. Kascheyev, A. B. Rabiu, A. A. Obafaye, O. O. Odeyemi, A. O. Adewale

“…Close inspection of the ionograms from ILR during this interval (1500–1800 UT) showed the occurrence of small‐scale spreading in the F‐layer trace which varied in altitude as the disturbance progressed. Computation of the linear growth rate of the collisional Rayleigh‐Taylor instability showed that the plasma instability was seeded by a traveling ionospheric disturbance (TID). …”
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WALLABY Pilot Survey and ASymba: Comparing H i Detection Asymmetries to the SIMBA Simulation by Mathieu Perron-Cormier, Nathan Deg, Kristine Spekkens, Mark L. A. Richardson, Marcin Glowacki, Kyle A. Oman, Marc A. W. Verheijen, Nadine A. N. Hank, Sarah Blyth, Helga Dénes, Jonghwan Rhee, Ahmed Elagali, Austin Xiaofan Shen, Wasim Raja, Karen Lee-Waddell, Luca Cortese, Barbara Catinella, Tobias Westmeier

“…We compute 1D and 3D asymmetries for spatially resolved WALLABY Pilot Survey detections, and we find that the highest 3D asymmetries ( A _3D ≳ 0.5) stem from interacting systems or detections with strong bridges or tails. …”
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Refinement of an Algorithm to Detect and Predict Freezing of Gait in Parkinson Disease Using Wearable Sensors by Allison M. Haussler, Lauren E. Tueth, David S. May, Gammon M. Earhart, Pietro Mazzoni

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Research on Breast Cancer Detection Methods Based on ODMV-MulDyHead-YOLO by Yanhong Zhang, Pei Li, Yihua Lan, Xiao Jia, Yingjie Lv

“…Early screening and timely treatment can effectively control breast cancer progression and significantly reduce mortality. In this paper, we proposed a method of breast cancer detection based on full-dimensional dynamic convolution and multiple attention mechanism to solve the problems of missing detection and low detection accuracy caused by breast tumor occlusion by breast muscle, poor contrast between tumor and surrounding glandular tissue and indistinct features of small tumor. …”
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DSF-YOLO for weld defect detection in X-ray images with dynamic staged fusion by Meng Zhang, Yanzhu Hu, Binbin Xu, Lisha Luo, Song Wang

“…Abstract Weld defect detection poses significant challenges including ambiguous boundaries, diverse defect shapes, and the requirement for precise localization. …”
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AI-Assisted MRI Analysis for Multiple Sclerosis: Lesion Detection and Brain Atrophy Assessment by Ioana-Andreea CÎRLIG, Ioana-Andreea GHEONEA

“… Introduction: Multiple sclerosis (MS) is a chronic autoimmune disorder that leads to neurodegeneration and progressive neurological impairment. A key imaging feature of MS is the presence of demyelinating brain lesions, which vary in distribution and size. …”
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LEAD-YOLO: A Lightweight and Accurate Network for Small Object Detection in Autonomous Driving by Yunchuan Yang, Shubin Yang, Qiqing Chan

“…The accurate detection of small objects remains a critical challenge in autonomous driving systems, where improving detection performance typically comes at the cost of increased model complexity, conflicting with the lightweight requirements of edge deployment. …”
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Parkinson’s disease detection using inceptionV3: A Deep learning approach by Pallavi M. Shanthappa, Madhwesh Bayari, G.B. Abhilash, K.V. Gokul, P.J. Ashish

“…Parkinson's disease (PD) is a neurodegenerative condition that progressively affects motor function and causes tremors, rigidity, and bradykinesia. …”
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Optimizing colorectal polyp detection and localization: Impact of RGB color adjustment on CNN performance by Jirakorn Jamrasnarodom, Pharuj Rajborirug, Pises Pisespongsa, Kitsuchart Pasupa

“…Colorectal cancer, arising from adenomatous polyps, is a leading cause of cancer-related mortality, making early detection and removal crucial for preventing cancer progression. …”
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Enhanced YOLOv5s Model for Improved Multi-Sized Object Detection in Road Scenes by Sangavi Sivanandham, Dharanibai Gunaseelan

“…Detecting objects in complex driving environments is crucial for autonomous vehicles to navigate safely. …”
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A microbead-enhanced electrochemical platform for β-amyloid peptide (1–42) detection by Claudia do Amaral Razzino, Claudia do Amaral Razzino, Lívia Flório Sgobbi, Juliana Cancino-Bernardi, Angelica Maria Mazuera Zapata, Clara Cardoso Costa, Valtencir Zucolotto, Lucia Vieira, Anderson Oliveira Lobo

“…A significant biomarker of Alzheimer’s disease is the decreased level of soluble β-amyloid peptide (1–42) (Aβ1-42) in cerebrospinal fluid (CSF), as pathology progresses when CSF-Aβ1-42 levels drop below 192 pg mL−1. …”
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Detection and significance of HPV16 E5-specific productive transcripts in oropharyngeal carcinoma by Maria Gabriella Donà, Francesca Paolini, Maria Benevolo, Francesca Rollo, Elisabetta Merenda, Eugenia Giuliani, Flaminia Campo, Claudia Bonomo, Francesco Lorusso, Fabio Cecconi, Rita Antonelli, Ignazio La Mantia, Giuseppe D’Ermo, Renato Covello, Barbara Pichi, Raul Pellini, Antonio Carlos De Freitas, Andrew Sharabi, Aldo Venuti

“…Results Productive HPV16-E5 transcripts were detected in 11.3% of OPCs. There was no significant association between HPV16-E5 transcripts and EGFR or HLA-I expression. …”
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Advancing Veterinary Oncology: Next-Generation Diagnostics for Early Cancer Detection and Clinical Implementation by Aya Hasan Alshammari, Takuya Oshiro, Umbhorn Ungkulpasvich, Junichi Yamaguchi, Masayo Morishita, Sura Abbas Khdair, Hideyuki Hatakeyama, Takaaki Hirotsu, Eric di Luccio

“…Technological advances in genomics, bioinformatics, and machine learning are driving a shift toward precision medicine, enabling earlier detection, personalized treatments, and monitoring of disease progression. …”
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Design of Ultrasonic Flaw Detection Data Processing System Based on LabVIEW and FPGA by TAN Qunlin, ZHANG Dongfang, XIA Lang, HU Liang, ZHONG Sheng

“…In order to meet the application requirements of multichannel, high bandwidth and high throughput, and use LabVIEW to develop customized FPGA board to reduce cost and increase efficiency, this paper presents a design of ultrasonic flaw detection data processing system which use FPGA to build the system hardware architecture and use LabVIEW to build the underlying software architecture. …”
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