On the improvement of schizophrenia detection with optical coherence tomography data using deep neural networks and aggregation functions by Paweł Karczmarek, Małgorzata Plechawska-Wójcik, Adam Kiersztyn, Adam Domagała, Agnieszka Wolinska, Steven M. Silverstein, Kamil Jonak, Paweł Krukow

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Integrated intrusion detection design with discretion of leading agent using machine learning for efficient MANET system by K. S. Nirmala Bai, Dr M.V. Subramanyam

“…Particle Swarm Optimization (PSO) is defined for the initial clustering of nodes and immediately the O-MLM is performed to detect the leading agent nodes in each cluster with the selection features of node degree, node mobility, energy, distance and delay. …”
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Quantitative Detection of t(14;18)-Positive Cells by Real-Time Quantitative PCR Using Fluorogenic Probes by Dölken Lars, Schüler Frank, Dölken Gottfried

“…In relation to t(14;18)-positive genomic DNA or a cloned t(14;18)-DNA fragment, highly reproducible results can be obtained with initial copy numbers between 10 to 105. The detection of single copies has been verified by the stochastic multiple-tube approach. …”
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Tachyon: Enhancing stacked models using Bayesian optimization for intrusion detection using different sampling approaches by T. Anitha Kumari, Sanket Mishra

“…These security breaches are caused by rudimentary and immature security protocols that are implemented on IoT devices. An intrusion detection system is used to detect security threats and system-level applications to detect malicious activities. …”
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Surface defect detection on rolling mill rolls: a transfer learning approach with improved YOLOv5 by Yulong Hu, Wen Peng, Shiyi Chen, Jinyun Liu, Xudong Li, Jie Sun, Dianhua Zhang

“…The pre-trained model was then adapted for roll defect detection using transfer learning, where the learned parameters from strip surface defects served as initial weights for training on the roll defect dataset. …”
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Comparison of immunohistochemistry and polymerase chain reaction for detection of West Nile virus in naturally infected dead birds by Tejbir S Sandhu, Dalbinder S Sidhu, Major S Dhillon, Ying Fang

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RL-Net: a rapid and lightweight network for detecting tiny vehicle targets in remote sensing images by Yaoyao Du, Li Chen, Xingxing Hao

“…The integration of Unmanned Aerial Vehicles (UAVs) with object detection technology offers a promising solution to this problem. …”
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Method for detection of cerebral blood flow in neurointensive care using longitudinal arterial spin labeling MRI. by Sofie Tapper, Anders Tisell, Jan Hillman, Karin Wårdell

“…In conclusion, this workflow including repeated MRI measurements could help detect changes in CBF between different measurement days and complement other conventional monitoring techniques in the NICU.…”
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Towards automatic farrowing monitoring-A Noisy Student approach for improving detection performance of newborn piglets. by Martin Wutke, Clara Lensches, Ulrich Hartmann, Imke Traulsen

“…As a result, we improve the initial detection performance of the teacher model from 0.561, 0.838, 0.672 to 0.901, 0.944, 0.922 for the performance metrics Recall, Precision and F1-score, respectively. …”
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Providing a fault detection method for the occurrence of faults in DC microgrids, distributed generations, and electrical vehicles by Alireza Sistani, Seyed Amir Hosseini, Vahideh Sadat Sadeghi, Behrooz Taheri

“…Therefore, the purpose of this paper is to create a new fault detection method in islanded DC microgrids. In this method, the current signal samples are entered into a chaotic state, and using the feature of sensitivity to the initial conditions of this method, it accurately identifies the fault. …”
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Enhanced Fall Detection Using YOLOv7-W6-Pose for Real-Time Elderly Monitoring by Eugenia Tîrziu, Ana-Mihaela Vasilevschi, Adriana Alexandru, Eleonora Tudora

“…This study aims to enhance elderly fall detection systems by using the YOLO (You Only Look Once) object detection algorithm with pose estimation, improving both accuracy and efficiency. …”
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A unified approach for weakly supervised crack detection via affine transformation and pseudo label refinement by Zhongmin Huangfu, Yibo Jiao, Fupeng Wei, Ge Shi, Hangcheng Dong

“…Abstract Consistent detection of cracks in engineering structures is essential for maintaining structural integrity. …”
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Clonorchis sinensis and Echinostoma hortense detected by endoscopy and molecular characterization: two case reports and update on diagnosis by Lijia Wen, Benhe Wang, Hui Zhang

“…In another case, multiple active trematodes were detected on the duodenal wall under duodenoscopy, subsequently extracted using endoscopic forceps. …”
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Significance of ligature of early detected insufficient perforated lower extremities veins as a cause of the varicous syndrome by Sekulović Leposava, Sekulović Slobodan, Kronja Goran

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Is the detection of phosphonic and ethyl-phosphonic acid in organic wines an evidence of fosetyl-Al application in organic vineyards? by Alessandra Trinchera, Giuseppe Vassanelli, Luca Lorenzi, Dylan Warren Raffa

“…Over the last decade, the detection of phosphonic acid in organic food, a residue of plant protection products not permitted by Regulation (EU) 2021/1165, has become a critical issue for European organic producers. …”
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ContourTL-Net: Contour-Based Transfer Learning Algorithm for Early-Stage Brain Tumor Detection by N. I. Md. Ashafuddula, Rafiqul Islam

“…Hence, a novel thresholding-based MRI image segmentation approach with a transfer learning model based on contour (ContourTL-Net) is suggested to facilitate the clinical detection of brain malignancies at an initial phase. …”
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Effect of DEM Used for Terrain Correction on Forest Windthrow Detection Using COSMO SkyMed Data by Michele Dalponte, Daniele Marinelli, Yady Tatiana Solano-Correa

“…Preprocessing Synthetic Aperture Radar (SAR) data is a crucial initial stage in leveraging SAR data for remote sensing applications. …”
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Sensitive Object Trigger-Based Fragile Watermarking for Integrity Verification of Remote Sensing Object Detection Models by Xin Xu, Zihao Wang, Weitong Chen, Wei Tang, Na Ren, Changqing Zhu

“…Remote sensing object detection (RSOD) models are widely deployed on edge devices for critical applications. …”
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The data dimensionality reduction and bad data detection in the process of smart grid reconstruction through machine learning. by Bo Yu, Zheng Wang, Shangke Liu, Xiaomin Liu, Ruixin Gou

“…Finally, based on the combination of the Convolutional Neural Network (CNN) and the Gated Recurrent Unit (GRU) network, an algorithm model for FDIAs detection is constructed. The results show that in the IEEE14-bus node and IEEE118-bus node systems, the overall distribution of the state estimated before and after the attack vector injection is consistent with the initial value. …”
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A Novel Algorithm for Adaptive Detection and Tracking of Extended Targets Using Millimeter-Wave Imaging Radar by Ge Zhang, Weimin Shi, Xiaofeng Shen, Qilong Miao, Chenfei Xie, Lu Chen

“…In this work, we propose an adaptive detection and tracking framework for non-cooperative ETs based on radar imaging. …”
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