EFFICIENCY OF PULMONARY TUBERCULOSIS CHEMOTHERAPY IN NEW CASES DEPENDING ON THE TIME OFDRUG RESISTANCE DETECTION by M. V. Burаkovа, I. A. Vаsilyevа, E. V. Vаniev, T. R. Bаgdаsаryan, A. G. Sаmoylovа

“…High treatment efficiency can be achieved in the new pulmonary tuberculosis cases if the initial treatment regimen was prescribed based on the results of the cartridge test with consequent correction depending on the results of the proportional method on liquid media in the automated system detecting growth of mycobacteria. …”
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Color doppler ultrasonography and multislice computer tomography angiography in carotid plaque detection and characterization by Vučaj-Ćirilović Viktorija, Lučić Miloš, Petrović Kosta, Nikolić Olivera, Govorčin Mira, Stojanović Sanja

“…The aim of this study was to compare duplex scan Color Doppler ultrasonography (CDU) with multislice computed tomography angiography (MSCTA) in detection of morphological and functional disorders at extracranial level of carotid arteries. …”
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DSR-YOLO: A lightweight and efficient YOLOv8 model for enhanced pedestrian detection by Mustapha Oussouaddi, Omar Bouazizi, Aimad El mourabit, Zine el Abidine Alaoui Ismaili, Yassine Attaoui, Mohamed Chentouf

“…Built on the lightweight YOLOv8n architecture, it incorporates DCNv4 modules to enhance the detection rates and reduce missed detections by effectively learning key pedestrian features. …”
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DETECTING URBAN SLUMS IN DKI JAKARTA: A KOTAKU DATA APPROACH WITH ENSEMBLE METHODS by Muhammad Muawwad MS, Rani Nooraeni, Ananda Galuh Intan Prasetya

“…This modeling will look for patterns or structures from the data that has been provided so that the detection results become more objective. This study aims to model slum indicators from KOTAKU data and detect urban slum settlements in DKI Jakarta. …”
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The Association of Streptococcus gallolyticus Subspecies pasteurianus Bacteremia with the Detection of Premalignant and Malignant Colonic Lesions by Gaurav Chand, Leonid Shamban, Adam Forman, Prabhat Sinha

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A weakly supervised method for surgical scene components detection with visual foundation model. by Xiaoyan Zhang, Jingyi Feng, Qian Zhang, Liming Wu, Yichen Zhu, Ziyu Zhou, Jiquan Liu, Huilong Duan

“…Finally, we match the initial localization of instruments and targets with the candidate areas generated by SAM, achieving precise detection of components in the surgical scene.…”
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Effective Approach to Use Artificial Intelligence for Detecting Different Faults in Working Electrical Machines by Seyed Hamid Rafiei, Mansoor Ojaghi, Mahdi Sabouri

“…Artificial intelligence (AI) shows good potential for detecting and discriminating faults in electrical machines, however, they require initial training with sufficient data, which is almost impossible to collect for working electrical machines in the field. …”
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Self-Powered Microsystem for Ultra-Fast Crash Detection via Prestressed Triboelectric Sensing by Yiqun Wang, Yuhan Wang, Xinzhi Liu, Xiaofeng Wang, Keren Dai, Zheng You

“…Reliable detection of high-g shocks in extreme impact scenarios, such as automobile collisions, is essential for ensuring occupant safety. …”
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Multi-scale feature fusion keypoint detection network for ship draft line localization by Bo Zhang, Yumengmeng Yin, Kefu Ma, Hong Wang

“…Abstract In the maritime industry, accurately detecting a ship’s draft line is crucial for ensuring transaction fairness and navigational safety. …”
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Pedestrian-Crossing Detection Enhanced by CyclicGAN-Based Loop Learning and Automatic Labeling by Kuan-Chieh Wang, Chao-Li Meng, Chyi-Ren Dow, Bonnie Lu

“…The scarcity and difficulty of collecting data under such complex conditions pose significant challenges to the development of accurate detection systems. This study proposes a CyclicGAN-based loop-learning framework, in which the learning process begins with a set of manually annotated images used to train an initial labeling model. …”
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CF-YOLO for small target detection in drone imagery based on YOLOv11 algorithm by Chengcheng Wang, Yuqi Han, Chenggui Yang, Mingjie Wu, Zaiqing Chen, Lijun Yun, Xuesong Jin

“…Abstract Images captured from a drone’s perspective are significantly impacted in terms of target detection algorithm performance due to the notable differences in target scales and the presence of numerous small target objects lacking detailed information. …”
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Multi-strategy enhanced marine predator algorithm: performance investigation and application in intrusion detection by Zhongmin Wang, Yujun Zhang, Jun Yu, YuanYuan Gao, Guangwei Zhao, Essam H. Houssein, Rui Zhong

“…Finally, we extend the proposed MEMPA to optimize the hyper-parameters of the Extreme Learning Machine (ELM) for intrusion detection, and the performance of MEMPA-ELM increases the average accuracy by 0.79% than the second-best model. …”
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Cloud-Edge Collaborative Defect Detection Based on Efficient Yolo Networks and Incremental Learning by Zhenwu Lei, Yue Zhang, Jing Wang, Meng Zhou

“…Furthermore, a cloud-edge collaborative defect detection system is constructed to improve detection accuracy and efficiency through initial detection by edge devices, followed by additional inspection by cloud servers. …”
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AI-Based Solar Panel Detection and Monitoring Using High-Resolution Drone Imagery by Raheleh Parsaeifar, Mojtaba Valinejadshoubi, Anthony Le Guen, Fernando Valdivieso

“…These challenges necessitate robust computational resources and an initial investment in advanced drone technology. In conclusion, the developed deep learning model presents a practical tool for solar panel detection, offering substantial improvements in monitoring and managing solar energy resources.…”
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Learning Dendritic-Neuron-Based Motion Detection for RGB Images: A Biomimetic Approach by Tianqi Chen, Yuki Todo, Zhiyu Qiu, Yuxiao Hua, Delai Qiu, Xugang Wang, Zheng Tang

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The Relevance of Osteoscintigraphy Technique in Early Detection of Bone Metastatic Lesions: a Systematic Review by E. A. Litvinenko, I. V. Burova

“…OSG is an effective and informative technique for early detection of bone metastases, allowing to assess the functional state of the tumor and its surrounding tissues, even before the appearance of structural disorders visible by other diagnostic methods. …”
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Adaptive Granularity-Fused Keypoint Detection for 6D Pose Estimation of Space Targets by Xu Gu, Xi Yang, Hong Liu, Dong Yang

“…The accuracy of this process hinges critically on the initial keypoint detection, which is currently limited by predominantly singular-scale detection techniques and fails to exploit sufficient information. …”
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A Framework for Early Detection of Glaucoma in Retinal Fundus Images Using Deep Learning by Murali Govindan, Vinod Kumar Dhakshnamurthy, Kannan Sreerangan, Manikanda Devarajan Nagarajan, Suresh Kumar Rajamanickam

“…This is a retinal condition that causes damage to the Optic Nerve Head (ONH) and can lead to permanent blindness if detected in a late stage. The prevention of permanent blindness is contingent upon the timely identification and intervention of glaucoma during its initial stages. …”
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Automated Breast Cancer Detection in Mammograms using Transfer Learningbased Deep Learning Models by Preeti Katiyar, Krishna Singh

“…Patients’ chances of survival increase when BC is detected early and treated with the appropriate treatment at the right time. …”
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Spin-Wheel: A Fast and Secure Chaotic Encryption System with Data Integrity Detection by Luis D. Espino-Mandujano, Rogelio Hasimoto-Beltran

“…As a final process in our methodology, we implemented a simple packet-based data integrity scheme that detects with high probability if the received information has been modified (for example, by a man-in-the-middle attack). …”
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