Low-complexity timer-based multi-relay selection and sequential power allocation of cooperative cognitive radio networks for future Internet of things by Md Arifur Rahman, Youngdoo Lee, Insoo Koo

“…Thus, for an efficient utilization of resources to support the applicability of cognitive radio for the Internet of things, we propose a low-complexity timer-based multi-relay selection that determines a forwarding relay set before the source begins to transmit its data. …”
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Leveraging explainable artificial intelligence for early detection and mitigation of cyber threat in large-scale network environments by G. Nalinipriya, S. Rama Sree, K. Radhika, E. Laxmi Lydia, Faten Khalid Karim, Mohamad Khairi Ishak, Samih M. Mostafa

“…Machine learning (ML) plays a crucial role in cybersecurity by making malware detection more scalable, efficient, and automated, reducing reliance on conventional human intervention methods. …”
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A Comprehensive Approach to Intrusion Detection in IoT Environments Using Hybrid Feature Selection and Multi-Stage Classification Techniques by G. Logeswari, J. Deepika Roselind, K. Tamilarasi, V. Nivethitha

“…This paper’s key contribution lies in the integration of feature selection and classification techniques tailored for IoT environments, filling a critical gap in the state of the art and offering a more adaptive and efficient solution for real-time intrusion detection.…”
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SA3C-ID: a novel network intrusion detection model using feature selection and adversarial training by Wanwei Huang, Haobin Tian, Lei Wang, Sunan Wang, Kun Wang, Songze Li

“…However, traditional intrusion detection methods exhibit several limitations, including insufficient feature extraction from network data, high model complexity, and data imbalance, which result in issues like low detection efficiency, as well as frequent false positives and missed alarms. …”
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A lightweight trichosanthes kirilowii maxim detection algorithm in complex mountain environments based on improved YOLOv7-tiny. by Zhongjian Xie, Xinwei Chen, Weilin Wu, Yao Xiao, Yuanhang Li, Yaya Zhang, ZhuXuan Wan, Weiqi Chen

“…Detecting Trichosanthes Kirilowii Maxim (Cucurbitaceae) in complex mountain environments is critical for developing automated harvesting systems. …”
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Enhanced framework for credit card fraud detection using robust feature selection and a stacking ensemble model approach by Rahul Kumar Gupta, Asmaul Hassan, Samir Kumar Majhi, Nikhat Parveen, Abu Taha Zamani, Raju Anitha, Binayak Ojha, Abhinav Kumar Singh, Debendra Muduli

“…With the increase in online payment volumes, conventional fraud detection technologies are increasingly confronted by the complexity of fraudulent strategies that require intelligent and scalable alternatives. …”
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The value of DHR-enzyme-linked immunosorbent assay in the diagnosis of chronic granulomatous disease by detecting NADPH oxidase complex activity by Wen Xiaohui, Zhao Shunying, Zhang Xiaoyan, Tang Xiaolei, Shen Yuelin, Liu Jinrong, Li Huimin, Liu Hui, Yang Haiming

“…The DHR-ELISA method demonstrated a specificity of 90% and a sensitivity ranging from 90.5% to 100% in detecting CGD.ConclusionThe DHR-ELISA is a rapid, easy, cost-effective, and efficient method for screening CGD, making it suitable for early diagnosis and potentially improving prognosis.…”
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Target image detection algorithm of complex road scene based on improved multi-scale adaptive feature fusion technology by Xu Zhaosheng, Liao Zhongming, Xiao Xiaoyong, Ahmad Suzana, Mat Diah Norizan, Ismail Azlan

“…Current object detection algorithms are not very good at handling complex road scenes, and public datasets do not always adequately represent city traffic. …”
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Decision Feedback Equalization-Based Low-Complexity Interference Cancellation and Signal Detection Technique Based for Non-Orthogonal Signaling by Myung-Sun Baek, Hyoung-Kyu Song

“…To address this challenge, this paper explores a matrix computation-based interference cancellation technique tailored for FTN communication systems, aiming to significantly reduce the complexity of the ISI mitigation process. To execute ISI cancellation and signal detection more precisely, the proposed technique includes iterative interference cancellation and a signal detection process. …”
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CTL-YOLO: A Surface Defect Detection Algorithm for Lightweight Hot-Rolled Strip Steel Under Complex Backgrounds by Wenzheng Sun, Na Meng, Longfa Chen, Sen Yang, Yuguo Li, Shuo Tian

“…Currently, in the domain of surface defect detection on hot-rolled strip steel, detecting small-target defects under complex background conditions and effectively balancing computational efficiency with detection accuracy presents a significant challenge. …”
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A Novel Detection-and-Replacement-Based Order-Operator for Differential Evolution in Solving Complex Bound Constrained Optimization Problems by Sichen Tao, Sicheng Liu, Shoya Ohta, Ruihan Zhao, Zheng Tang, Yifei Yang

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Multi-scale fusion network for coal mine drill rod counting based on directional object detection in complex scenes by Fukai Zhang, Shuo Zhao, Haiyan Zhang, Yongqiang Ma, Qiang Zhang, Shaopu Wang, Wenjing Chang

“…With the advancement of intelligent mining, automated drill rod counting based on computer vision has become a crucial means to improve mining efficiency and safety. However, challenges such as dim lighting, small target sizes, diverse object perspectives, and complex visual interference in coal mine environments significantly limit the accuracy and real-time performance of existing object detection methods. …”
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High-throughput phenotyping techniques for forage: Status, bottleneck, and challenges by Tao Cheng, Dongyan Zhang, Gan Zhang, Tianyi Wang, Weibo Ren, Feng Yuan, Yaling Liu, Zhaoming Wang, Chunjiang Zhao

“…High-throughput phenotyping (HTP) technology is now a significant bottleneck in the efficient selection and breeding of superior forage genetic resources. …”
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Recognition of Strawberry Powdery Mildew in Complex Backgrounds: A Comparative Study of Deep Learning Models by Jingzhi Wang, Jiayuan Li, Fanjia Meng

“…These findings demonstrate that CNN models originally developed for other crop diseases can be effectively adapted to detect strawberry powdery mildew under complex conditions. …”
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Features of the Methods of Training Physical Exercises by Victor BUFTEA

“…For this reason, new forms, methods and means appear in the training strategies of the athletes, whose purpose is to increase the efficiency of performances, notwithstanding the degree of difficulty of the exercise technique and many other motor actions provided in the competition programs. …”
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Nitrogen-rich covalent organic polymers for efficient solid phase extraction of nonsteroidal anti-inflammatory drugs from water samples by Yuqi Cheng, Jia Li, Xiaochen Xiu, Xinghua Teng, Wen Zhang, Lei Ji, Leilei Wang

“…In order to monitor trace levels of NSAIDs from complex water samples, development of facile and efficient sample pretreatment is of great significance. …”
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A robust and efficient approach to estimating the age of secondary mangrove forests employing time-series Landsat images and the CCDC model by Yue Zhang, Xiaoyan Li, Rong Zhang, Lina Cheng, Mingming Jia, Chuanpeng Zhao, Xianxian Guo, Haihang Zeng, Wensen Yu, Qian Shi, Zongming Wang

“…However, reliably determining mangrove forest age using remote sensing has been hindered by the complex dynamics of intertidal environments. To overcome these challenges, we developed a robust and efficient approach for estimating the age of secondary mangrove forests (ASMF) by integrating Landsat time-series data and the Continuous Change Detection and Classification (CCDC) algorithm. …”
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Role of ^99mTc-pyrophosphate myocardial scintigraphy in assessing the efficiency of tafamidis therapy: a case series by A. A. Shoshina, A. A. Ansheles, S. N. Nasonova, I. V. Zhirov, V. B. Sergienko, S. N. Tereshchenko

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Efficient removal of uranium (VI) from environmental water samples by cyclodextrin-intercalated layered double hydroxide-coated magnetic nanoparticles by Ali Esrafili, Mahnaz Ghambarian, Mahmood Yousefi, Najmeh Yazdanfar

“…The applicability of the adsorbent was tested by removing uranium (VI) from diverse complex environmental water samples. As a result of the removal efficiencies exceeding 92.76% with relative standard deviations (RSDs%) below 6.73%, the synthesized adsorbent can successfully remove Uranium (VI) from complex real samples with acceptable precisions.…”
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From hydraulic root architecture models to efficient macroscopic sink terms including perirhizal resistance: quantifying accuracy and computational speed by D. Leitner, A. Schnepf, J. Vanderborght

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