Intelligent Point-of-Care Biosensing Platform Based on Luminescent Nanoparticles and Microfluidic Biochip with Machine Vision Algorithm Analysis by Yuan Liu, Xinyue Lao, Man-Chung Wong, Menglin Song, Yifei Zhao, Yingjin Ma, Qianqian Bai, Jianhua Hao

“…The utilization of machine vision algorithm improves the detection features of portability and integration, which expands the potential of point-of-care biosensing applications.…”
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An Efficient Aircraft Conflict Detection and Resolution Method Based on an Improved Reinforcement Learning Framework by Qiucheng Xu, Zhangqi Chen, Fangfang Li, Zhiyuan Shen, Wenbin Wei

“…This paper proposes an improved reinforcement learning framework to achieve conflict detection and resolution. The proposed framework includes the first development of an air traffic flow model based on a multiagent Markov decision process. …”
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Research on a UAV-View Object-Detection Method Based on YOLOv7-Tiny by Yuyang Miao, Xihan Wang, Ning Zhang, Kai Wang, Lianhe Shao, Quanli Gao

“…To address the issues of missed and false detections caused by small object sizes, dense object distribution, and complex scenes in drone aerial images, this study proposes a drone-view object-detection algorithm based on YOLOv7-tiny with a Partial_C_Detect detection head. …”
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Fault Detection and Protection Strategy for Multi-Terminal HVDC Grids Using Wavelet Analysis by Jashandeep Kaur, Manilka Jayasooriya, Muhammad Naveed Iqbal, Kamran Daniel, Noman Shabbir, Kristjan Peterson

“…Results demonstrate the algorithm’s effectiveness in detecting faults rapidly and accurately. …”
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Fluid flow characteristics estimation of a new integrated bifluid/airbased photovoltaic thermal system utilizing a hybrid optimization method by Ghassan A. Bilal, Abdullateef A. Jadallah, Omayma M. Abdulmajeed, Müslüm Arıcı

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Integrating Cognitive Intelligence and VANET for Effective Traffic Congestion Detection in Smart Urban Mobility by Anita Mohanty, Ambarish G. Mohapatra, Subrat Kumar Mohanty, Tiansheng Yang, Rajkumar Singh Rathore, Ahmed Alkhayyat, Deepak Gupta

“…By incorporating cognitive intelligence, the system continuously refines congestion detection and response strategies, enhancing traffic flow efficiency and enabling proactive congestion avoidance. …”
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Designing a Real-Time-Based Optical Character Recognition to Detect ID Cards by Rodzan Iskandar, Mezan El Khaeri Kesuma

“…The software used by Easy OCR was Pytorch-based. ID cards were detected using an algorithm by TensorFlow object detection with SSD MobileNet V2 FPNLite 320x320 as the pre-trained model of Tensorflow. …”
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Consistent vehicle trajectory extraction from aerial recordings using oriented object detection by Kevin Riehl, Shaimaa K. El-Baklish, Anastasios Kouvelas, Michail A. Makridis

“…The reconstructed vehicle trajectories better capture car-following and traffic dynamics, thereby improving their usability for traffic flow studies.…”
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Optimization of computer network security system based on improved neural network algorithm and low energy data search by Miao Zhigang, Cao Ying, Wang Tao

“…A data search strategy with low energy consumption is designed to reduce the consumption of computing resources by optimizing data access and processing flow. The experimental results show that the proposed method is superior to the traditional method in detecting accuracy and speed, and the energy consumption in the process of data search is greatly reduced. …”
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Lampsy: An Invisible Real-Time Epilepsy Video Monitoring and Automatic Seizure Detection Device by Vicente M. Garcao, Mariana Abreu, Francisca Sa, Ana Rita Peralta, Carla Bentes, Ana Fred, Hugo Placido da Silva

“…Lampsy&#x2019;s previously published detection algorithm, which employed Optical Flow, achieved a sensitivity and specificity of 99.06% <inline-formula> <tex-math notation="LaTeX">$\pm ~1.61$ </tex-math></inline-formula>% for 21 tonic-clonic seizures, but required calibration and significant processing, rendering it impractical for real-time use on edge devices. …”
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Detection of platelet-associated immunoglobulins and complement system components in patients with aplastic anemia and hemoblastosis by A. F. Rakhmani, E. A. Mikhaylova, I. V. Galtseva, Yu. O. Davidova, N. M. Kapranov, I. V. Dubinkin, S. M. Kulikov, T. V. Gaponova, Z. T. Fidarova, V. V. Troitskaya, E. N. Parovichnikova, V. G. Savchenko

“…These markers can be detected by flow cytofluorometry of double-stained platelets. …”
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LSTM‐based real‐time stress detection using PPG signals on raspberry Pi by Amin Rostami, Koorosh Motaman, Bahram Tarvirdizadeh, Khalil Alipour, Mohammad Ghamari

“…The authors have developed an advanced AI algorithm that achieves high accuracy in real‐time stress detection using photoplethysmography (PPG) sensors while significantly reducing computational demands. …”
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Vehicle detection method based on multi-layer selective feature for UAV aerial images by Yinbao Ma, Yuyu Meng, Jiuyuan Huo

“…Abstract (UAVs) play a critical role in traffic flow monitoring and rapid accident response. However, this task remains challenging due to variable high-altitude viewpoints, complex environmental interference, and limitations in algorithmic efficiency. …”
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Dual‐fluorescence imaging and automated trophallaxis detection for studying multi‐nutrient regulation in superorganisms by Lior Baltiansky, Einav Sarafian‐Tamam, Efrat Greenwald, Ofer Feinerman

“…Additionally, our image‐based deep learning algorithm for automatic detection of ant trophallaxis events efficiently yields a detailed record of all food‐transfer interactions. …”
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Utilizing MV-FLOW™ and multidimensional ultrasound characteristics for prognosticating FET outcomes in RIF patients: Study Protocol for a cross-sectional study. by Ying Zhou, Li-Ying Liu, Hua-Ju Yang, Yuan-Yuan Lai, Di Gan, Jie Yang

“…MV-FLOW™ is an advanced two-dimensional superb microvascular imaging technology that can detect and display blood flow in micro-vessels. …”
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An automated and reliable method for breath detection during variable mask pressures in awake and sleeping humans. by Chinh D Nguyen, Jason Amatoury, Jayne C Carberry, Danny J Eckert

“…Using the flow signal, the algorithm correctly identified 97.6% of breaths with a mean difference±SD in the onsets of respiratory phase compared to expert visual detection of 23±89ms for inspiration and 6±56ms for expiration during wakefulness and 10±74ms for inspiration and 3±28 ms for expiration with variable mask pressures during sleep. …”
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Novel wobble-defended M-MULTOPS structure and its application in detecting network abnormal traffic by SUN Zhi-xin1, TANG Yi-wei1, GONG Jing1

“…A new detection method: wobble defended M-MULTOPS（modified-multi-level tree for online packet statistics） structure was presented.Aiming at the change of network traffic in core routers,ABF（adapted bloom filter） algorithm to assemble destination addresses to the IP packets was employed.And it put forward M-MULPOTS struc-ture to analyze results of the ABF algorithm,monitoring changes of network traffic and detecting network flow ab-normity in real time.For making use of the Wobble-defended M-MULTOPS structure,the method can work steadily and exactly,even when the traffic of network is wobbling terribly by the pulse attack.And because the M-MULTOPS inherits the MULTOPS ’s flexible attribution,it declined the spending of system resources at maximum.A detection system em-ploying this method has been run successfully in routers as an individual module.…”
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A quality of system routing based on neighborhood interference detection and mitigation in wireless sensor network by Ling Zhang, Ziyun Ni

“…Aiming at solving these problems, this article proposes a quality of system routing method based on neighborhood interference detection and mitigation. First, the algorithm uses a sink node as root node to establish a minimum spanning tree for the network to obtain the depth of each node. …”
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An IoT intrusion detection framework based on feature selection and large language models fine-tuning by Huan Ma, Wan Zhang, Dalong Zhang, Baozhan Chen

“…Therefore, we propose a Feature Selection and Large Language Models (LLMs)-based IoT intrusion detection framework (FSLLM). At its core is a multi-stage feature selection algorithm combining Minimum Redundancy Maximum Relevance algorithm (mRMR) and a Pearson Correlation Coefficient (PCC)-improved Covariance Matrix Adaptation Evolution Strategy algorithm (CMA-ES). …”
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A novel computer-aided diagnostic approach for detecting peripheral arterial disease in patients with diabetes. by Eva Elina Buschmann, Lulu Li, Michèle Brix, Andreas Zietzer, Philipp Hillmeister, Andreas Busjahn, Peter Bramlage, Ivo Buschmann

“…Owing to medial arterial calcification (MAC), the ankle-brachial index (ABI) is not always a reliable tool for detecting PAD. Arterial Doppler flow parameters, such as systolic maximal acceleration (ACCmax) and relative pulse slope index (RPSI), may serve as effective surrogates to detect stenosis-induced flow alteration. …”
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