MMLT: Efficient object tracking through machine learning-based meta-learning by Bibek Das, Asfak Ali, Suvojit Acharjee, Jaroslav Frnda, Sheli Sinha Chaudhuri

“…In contrast, traditional machine learning and classical computer vision methods like Kernelized Correlation Filters (KCF), Tracking, Learning, and Detection (TLD), and Bootstrap Aggregating (BOOSTING), lacks reliability in performance.This paper introduces a machine learning-based approach to one-shot meta-learning for more efficient object tracking. …”
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THE IMPORTANCE OF USING GIS IN INCREASING THE EFFICIENCY OF AGRICULTURAL FARMS - A BIBLIOMETRIC APPROACH by Mirela PLESA, Liviu MARCUTA, Alina MARCUTA, Alexandru FINTINERU, Andreea Roxana FIRĂŢOIU, Ovidiu GUSAN

“…GIS technology provides solutions to these problems through its ability to collect, analyze and visualize complex geospatial data. This technology allows farmers and researchers to make informed decisions based on accurate and up-to-date data, which is why they play an essential role in modern agriculture, enabling the development of innovative solutions to global challenges, contributing to more efficient, sustainable and productive agriculture higher. …”
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Contrastive learning of cross-modal information enhancement for multimodal fake news detection by Weijie Chen, Fei Cai, Yupu Guo, Zhiqiang Pan, Wanyu Chen, Yijia Zhang

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Optimizing etiological diagnostics and improving the efficiency of treating centralized infectious corneal ulcers by V. V. Neroev, O. S. Slepova, L. A. Kovaleva, G. I. Krichevskaya

“…The effectiveness of complex antiherpetic drug therapy supports this conclusion. …”
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Enhancing dysarthria severity classification: efficient audio based deep learning models by Varsha J Varma, Aniruddha Jana, Arpan Kumar Samal, Aurobindo S, Rani Chinnappa Naidu, Somaya Al-Maadeed, Moutaz Saleh, Rajesh Kumar M, Prakash Ramachandran, Zachariah C Alex, Rajeev Khoodeeram

“…Abstract A complex motor speech disorder, dysarthria makes diagnosis and its severity classification extremely challenging, thereby affecting suitable therapy and intervention strategies. …”
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Reinforcement learning for an efficient and effective malware investigation during cyber incident response by Dipo Dunsin, Mohamed Chahine Ghanem, Karim Ouazzane, Vassil Vassilev

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(IoT) Network intrusion detection system using optimization algorithms by Luo Shan

“…Abstract To address the complex requirements of network intrusion detection in IoT environments, this study proposes a hybrid intelligent framework that integrates the Whale Optimization Algorithm (WOA) and the Grey Wolf Optimization (GWO) algorithm—referred to as WOA-GWO. …”
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Method for approximate analytical calculation of electromagnetic wave reflection coefficients from a layer of inhomogeneous non-reciprocal chiral metamaterial taking into account d... by Dmitry N. Panin, Oleg V. Osipov, Yuliya S. Mamoshina

“…The developed analytical method provides faster and more efficient solutions compared to numerical methods and contributes to a better understanding of the physics of reflection processes in complex materials. …”
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Implementation of YOLOv7 Model for Human Detection in Difficult Conditions by Arijal B, Andi Sunyoto, M. Hanafi

“…The rapid development of artificial intelligence technology in recent decades has led to the development of highly efficient object detection algorithms, including human detection under difficult conditions. …”
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Plant Disease Detection Using an Innovative Swin-Axial Transformer by Ao Zhang, Wei Liu

“…Plant diseases are a significant threat to global agricultural production, and accurate and efficient disease detection is crucial for ensuring food security. …”
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A streamlined POCT solution for rapid infectious disease detection by Yaping Xie, Yan Yu, Shuaiwu Huang, Liangcheng Wan, Chang Wu, Chiwei Yin, Jianjun Li, Jiangang Ling, Lizhong Dai

“…Abstract Point-of-care testing (POCT) plays a crucial role in infectious disease screening due to its rapid detection and portability. However, current POCT systems face challenges such as lengthy sample preparation time, complex nucleic acid extraction, and limited real-time data transmission, extending patient waiting time. …”
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MODEL BASED FAULT DETECTION FOR SAFETY MANAGEMENT OF THE INDUSTRIAL PROCESSES by Dumitru POPESCU, Pierre BORNE, Crina TOROUS

“…Detection and diagnosis are important actions offered by the complex automations, that contribute to keeping the exploitation of the process safe. …”
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Baicalin-modified polyethylenimine for miR-34a efficient and safe delivery by Yingying Wang, Yingying Wang, Baiyan Wang, Yangfan Xiao, Qingchun Cai, Junyue Xing, Hao Tang, Ruiqin Li, Hongtao Zhang, Hongtao Zhang, Hongtao Zhang, Hongtao Zhang

“…Additionally, BA-PEI possesses perfect degradability, which benefits the release of miR-34a from the complexes. In A549 cells, the expression level of the miR-34a gene was checked by Western blotting, which reflects the transfection efficiency of BA-PEI/miR-34a. …”
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Underwater Object Detection Algorithm Based on an Improved YOLOv8 by Fubin Zhang, Weiye Cao, Jian Gao, Shubing Liu, Chenyang Li, Kun Song, Hongwei Wang

“…Due to the complexity and diversity of underwater environments, traditional object detection algorithms face challenges in maintaining robustness and detection accuracy when applied underwater. …”
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Building Surface Defect Detection Based on Improved YOLOv8 by Xiaoxia Lin, Yingzhou Meng, Lin Sun, Xiaodong Yang, Chunwei Leng, Yan Li, Zhenyu Niu, Weihao Gong, Xinyue Xiao

“…In intelligent building, efficient surface defect detection is crucial for structural safety and maintenance quality. …”
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Crack Detection on Road Surfaces Based on Improved YOLOv8 by Haiyang Wu, Lingyun Kong, Denghui Liu

“…Road defect detection is vital for road maintenance but remains challenging due to the complexity of backgrounds, low resolution, and crack similarity. …”
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Advanced Nanoformulations for Detection and Removal of Poly- and Perfluoroalkyl Substances (PFAS) by Jyotish Kumar, Mahesh Narayan

“…The conventional, highly sensitive methods used for PFAS detection are LC-MS/MS and solid phase extraction, but they are very complex and expensive. …”
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An advanced three stage lightweight model for underwater human detection by Zichen Liao, Kai Hu, Yuancheng Meng, Shuai Shen

“…Abstract This study presents StarEye, a lightweight deep learning model designed for underwater human body detection (UHBD) that addresses the challenges of complex underwater environments. …”
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Alzheimer’s Detection through 3D Convolutional Neural Networks by Ryan Hogan, Christoforos Christoforou

“…The benefits of our proposed 3D network are that it can assist in the exploration and detection of AD by mapping the complex heterogeneity of the brain, particularly in the limbic system and temporal lobe. …”
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Advancement of Fault Diagnosis and Detection Process in Industrial Machine Environment by Altaf S., Mehmood M. S., Soomro M. W.

“…Currently, manufacturing companies and researchers are making a great attempt to implement efficient fault diagnosis tools. The signal processing is a key step for the machine condition monitoring in complex industrial rotating electrical machines. …”
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