Optimizing plane detection in point clouds through line sampling by José María Martínez-Otzeta, Jon Azpiazu, Iñigo Mendialdua, Basilio Sierra

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Image analysis optimization for nanowire-based optical detection of molecules by Davtyan Rubina, Anttu Nicklas, Valderas-Gutiérrez Julia, Höök Fredrik, Linke Heiner

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Green Apple Detector Based on Optimized Deformable Detection Transformer by Qiaolian Liu, Hu Meng, Ruina Zhao, Xiaohui Ma, Ting Zhang, Weikuan Jia

“…The new method first introduces the ResNeXt network to extract image features to reduce information loss in the feature extraction process; secondly, it improves the accuracy and optimizes the detection results through the deformable attention mechanism; and finally, it uses a feed-forward network to predict the detection results. …”
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Integrating AI and statistical methods for enhancing civil structural practices: current trends, practical issues, and future direction by Asraar Anjum, Meftah Hrairi, Abdul Aabid Shaikh, Noorfazrina Yatim, Maisarah Ali

“…It emphasizes the significant roles these methods play in addressing modern challenges such as structural health monitoring, damage detection, seismic design optimization, and concrete condition assessment. …”
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Integrating AI and statistical methods for enhancing civil structural practices: current trends, practical issues, and future direction by Asraar Anjum, Meftah Hrairi, Abdul Aabid Shaikh, Noorfazrina Yatim, Maisarah Ali

“…It emphasizes the significant roles these methods play in addressing modern challenges such as structural health monitoring, damage detection, seismic design optimization, and concrete condition assessment. …”
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Indoor fire and smoke detection based on optimized YOLOv5. by Md Shafak Shahriar Sozol, M Rubaiyat Hossain Mondal, Achmad Husni Thamrin

“…Ensuring safety and safeguarding indoor properties require reliable fire detection methods. Traditional detection techniques that use smoke, heat, or fire sensors often fail due to false positives and slow response time. …”
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A Rotated Object Detection Model With Feature Redundancy Optimization for Coronary Athero-Sclerotic Plaque Detection by Xue Hao, Haza Nuzly Abdull Hamed, Qichen Su, Xin Dai, Linqiang Deng

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FD-YOLO: A YOLO Network Optimized for Fall Detection by Hoseong Hwang, Donghyun Kim, Hochul Kim

“…This study focuses on detecting fall situations using image-based methods. …”
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STID-Net: Optimizing Intrusion Detection in IoT with Gradient Descent by James Deva Koresh Hezekiah, Usha Nandini Duraisamy, Kalaichelvi Nallusamy, Avudaiammal Ramalingam, Saranya Chandran, Murugesan Rajeswari Thiyagupriyadharsan, Periasamy Selvaraju, Rajagopal Maheswar

“…The rapid evolution of IoT environment in medical and industrial applications has led to an increase in network vulnerabilities, making an intrusion detection system a critical requirement. Existing methods often struggle in capturing complex and irregular patterns from dynamic intrusion data, making them not suitable for different IoT applications. …”
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Optimizing credit card fraud detection with random forests and SMOTE by P. Sundaravadivel, R. Augustian Isaac, D. Elangovan, D. KrishnaRaj, V. V. Lokesh Rahul, R. Raja

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Optimizing Monkeypox Lesions Detection With a Lightweight Hybrid Model by Mehdhar S. A. M. Al-Gaashani, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Abduljabbar S. Ba Mahel, Ahmed Aziz, Mashael M. Khayyat, Ammar Muthanna

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THE STATE OF LABORATORY SERVICE FOR TUBERCULOSIS DIAGNOSIS IN THE SIBERIAN AND FAR EASTERN FEDERAL DISTRICTS by A. G. Cherednichenko, O. V. Revyakina, T. I. Petrenko

“…There were changes in the efficiency of detection using different microbiological diagnostic methods in the bacteriological laboratories of tuberculosis facilities in 2008 to 2012.Emphasis is laid on the topical moments in laboratory service work, which require further improvement and optimization.…”
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Advanced SPR-Based Biosensors for Potential Use in Cancer Detection: A Theoretical Approach by Talia Tene, Fabian Arias Arias, Darío Fernando Guamán-Lozada, María Augusta Guadalupe Alcoser, Lala Gahramanli, Cristian Vacacela Gomez, Stefano Bellucci

“…The sensor response was characterized through metrics such as angular sensitivity, resonance shift, full width at half maximum, attenuation, and derived figures including detection accuracy and limit of detection. Parametric optimization was performed for the thickness of each functional layer to enhance sensing performance. …”
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An optimized anomaly detection framework in industrial control systems through grey wolf optimizer and autoencoder integration by Muhammad Muzamil Aslam, Liyanage Chandratilak De Silva, Rosyzie Anna Awg Haji Mohd Apong, Ali Tufail

“…The method operates in two stages: (1) Optimizing GWO for feature selection to identify relevant features and reduce feature errors, and (2) Utilizing AE for efficient anomaly detection. …”
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Development and validation of a multiplex RT-qPCR method for the simultaneous detection of influenza type A, B and SARS-COV-2 viruses by Samira Karimkhani, Ehsan Lotfi, Fatemeh Karamali, Mahsa DarestaniFarahani, Reza Keikha, Mahmood Barati

“…Optimization was performed using qPCR methods, and the method's analytical sensitivity and specificity were assessed. …”
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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

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Vibration Analysis and Vehicle Detection by MEMS Acceleration Sensors Embedded in PCC Pavement by Congyi Chang, Linghui Kong, Libin Han, Junmin Li, Shuo Pan, Ya Wei

“…This study embedded micro-electro-mechanical systems (MEMS) accelerometer sensors in PCC pavement to capture vibration signals induced by vehicles. A thresholding method is proposed to automate vehicle detection by analyzing acceleration time-domain data, achieving precision and recall rates exceeding 85%. …”
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Improving detection of Parkinson’s disease with acoustic feature optimization using particle swarm optimization and machine learning by Elmoundher Hadjaidji, Mohamed Cherif Amara Korba, Khaled Khelil

“…A 5-fold cross-validation technique was adopted to evaluate the effectiveness of our method for PD detection. The results show that our approach significantly improves performance regardless of the classifier used, demonstrating its generalization capability. …”
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A novel method using body surface steel ball as a reference scale to measure the left atrial appendage for optimal selection of Watchman device by He Jin, Mingjun Feng, Xianfeng Du, Binhao Wang, Yibo Yu, Guohua Fu, Caijie Shen, Huimin Chu

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Optimized Hybrid Deep Learning Framework for Early Detection of Alzheimer’s Disease Using Adaptive Weight Selection by Karim Gasmi, Abdulrahman Alyami, Omer Hamid, Mohamed O. Altaieb, Osama Rezk Shahin, Lassaad Ben Ammar, Hassen Chouaib, Abdulaziz Shehab

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