K-Gen PhishGuard: an Ensemble Approach for Phishing Detection with K-Means and Genetic Algorithm by Ali Al-Hafiz, Adnan Jabir, Shamala Subramaniam

“… Phishing detection is considered a critical problem in cybersecurity, and utilising machine learning with an efficient feature selection method for precisely identifying malicious websites is deemed the most critical challenge. …”
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Simple Single-Person Fall Detection Model Using 3D Pose Estimation Mechanisms by Jinmo Yang, R. Young Chul Kim

“…Our results show that SFDM outperforms selected other models in per-frame floating-point operations, achieving the lowest model complexity. …”
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Discrete Phase Shift IRS-Assisted Energy Harvesting in Cognitive Radio Networks With Spectrum Sensing by Lilian Chiru Kawala, Guoquan Li, Mihertie Habtamu Demeke, Junzhou Xiong, Hao Xiong, Hang Hu

“…Energy Harvesting (EH) techniques, particularly RF-based EH, offer a solution by powering CRN terminals, thereby enhancing spectrum utilization efficiency. Simultaneously, Intelligent Reflecting Surfaces (IRSs) have emerged as a powerful technology to enhance wireless propagation environments and support RF-based EH in CRNs. …”
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Preparation of Magnetic Molecularly Imprinted Polymers Based on Group Sensing Quenching and Their Adsorption Characteristics on Signaling Molecules by Junqiang SUN, Haiyang YANG, Yao QU, Huarong YU, Fangshu QU, Yuxuan WAN

“…This selectivity is a key advantage of molecularly imprinted polymers, enabling the targeted removal of specific compounds from complex mixtures. …”
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Transforming Healthcare: A Review of Additive Manufacturing Applications in the Healthcare Sector by Alok Bihari Singh

“…This review systematically examines various AM technologies, including stereolithography, selective laser sintering, and fused deposition modeling. …”
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Triangular fuzzy merec (TFMEREC) and its applications in multi criteria decision making by Qaiyyum Hafizi Hasnan, Zahari Rodzi, Nor Hanimah Kamis, Faisal Al-Sharqi, Ashraf Al-Quran, Mamika Ujianita Romdhini

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AMCL: supervised contrastive learning with hard sample mining for multi-functional therapeutic peptide prediction by Jiwei Fang, Henghui Fan, Jintao Zhao, Jianping Zhao, Junfeng Xia

“…However, the identification of peptide functions through wet-lab experiments is both time-consuming and costly, necessitating efficient computational prediction methods. The field faces challenges such as long-tail distribution problems, data sparsity, and complex label co-occurrence patterns due to peptides’ multi-functional nature. …”
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Enhancing Indoor Localization Accuracy in Dense IoT-Integrated 5GNR Networks: Introducing SGNCL for Sensor-Guided NLoS Correction Localization by Afsaneh Saeidanezhad, Wasim Ahmad, Muhammad A. Imran, Olaoluwa R. Popoola

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Empirical analysis of control models for different converter topologies from a statistical perspective by Hole Shreyas Rajendra

“…Converter topologies including SEPIC, ZETA, etc. are controlled via selection of capacitive and inductive components, which assists in improving its conversion efficiency for different type of loads. …”
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Study on the stable preparation and optimization treatment of DWS N-type single-crystal silicon pyramid arrays by YuXin Zou, Xuan Liu, Mingjun Wang, Yating Song, Huan Liu, Shihao Hong, Fengshuo Xi

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Optimized Design of Distributed Generalized Reed-Solomon Coded Generalized Spatial Modulation by C. L. Zhao, F. F. Yang, H. J. Xu

“…When the GRS codes at the source and relay have large information lengths, the OISS algorithm possesses high complexity. Thus, a low-complexity optimized information symbol selection (LC-OISS) algorithm by incomplete search is put forward. …”
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Design Improvement of Permanent Magnet Motor Using Single- and Multi-Objective Approaches by Cvetkovski Goga, Petkovska Lidija

“…Engineers and academics have been actively involved in optimising these systems to achieve better performance, efficiency, and cost-effectiveness. Optimising electrical machines, including permanent magnet motors, is a complex task. …”
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Performance analysis of high-rate generalized space code index modulation system by BIAN Lina, ZHANG Qianyu, WU Jiayan

“…The traditional modulation symbols were replaced with the additional phase by the HR-GS-CIM system, and the genetic algorithm (GA) was used to optimize the design of the additional phase, which could acquire high energy efficiency advantage and performance advantage. At the same time, the methods of generalized and spatial indexing were introduced to jointly map select the additional phase, spreading code, and antenna lead, and a low-complexity joint mapping selection algorithm was adopted to greatly improve the system’s spectral efficiency. …”
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Advances in CO-SCR Catalysts and Reaction Mechanisms by Dong HAN, Hao LI, Xiaole WENG, Guobo LI, Honggen PENG

“…Driven by increasingly stringent nitrogen oxides (NOx) control requirements, and the limitations of NH3-selective catalytic reduction (NH3-SCR) technology, CO-selective catalytic reduction (CO-SCR) technology is attracting considerable attention. …”
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DETAILED AIRBORNE GEOPHYSICAL SURVEY OF COMPLEXLY DISLOCATED STRATA IN THE SUTAM TERRANE (ALDAN SHIELD) DURING STUDIES OF IRON-ORE DEPOSITS by A. A. Syasko, N. N. Grib, V. S. Imaev, L. P. Imaeva, I. I. Kolodeznikov

“…In rough-terrain and remote areas without any infrastructure, problems associated with ground-based methods can be avoided by using modern unmanned technologies that allow conducting geophysical surveys in a more efficient way. An unmanned aeromagnetic survey complex (aerial vehicle, UAV) Geoscan 401 was used to assess the possibility of using UAVs for aeromagnetic surveying of iron-ore deposits. …”
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Trading Community Analysis of Countries’ Roll-On/Roll-Off Shipping Networks Using Fine-Grained Vessel Trajectory Data by Shichen Huang, Tengda Sun, Jing Shi, Piqiang Gong, Xue Yang, Jun Zheng, Huanshuai Zhuang, Qi Ouyang

“…The RO/RO shipping network underwent restructuring after the pandemic, with major complex network parameters showing an upward trend. (2) The RO/RO shipping network is complex, with a stable graph density of 0.106 from 2020 to 2023. …”
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SEASONAL VARIATION OF IN SITU PHYTOPLANKTON PHOTOSYNTHETIC PROPERTIES IN NHA TRANG BAY by Thi Minh Hue Tran, Nhu Hai Doan

“…Seasonal and spatial variation of photosynthetic efficiency along the transect from the river mouth to the open ocean reflected the impact of river inputs on phytoplankton communities. …”
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Generation of Spatial Structure of Urban Parks Based on Spatial Analysis of Agent-Based Models by Huizi KONG, Tianming LIU, Jiajie LIAO, Liu CUI

“…Additionally, the simulation results show that the slime mold agent model can rapidly generate foraging networks in complex environments due to its efficient organization and structural resilience, as well as optimize path selection according to behavioral objectives.ConclusionABM analysis, supported by advanced algorithms, considers the basic spatial information of the site and simulates individual behavior patterns using distributed computation rules, thereby providing a new paradigm for landscape design thinking. …”
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Otsu thresholding method based on projection of cross section for image segmentation by Chao-dong FAN, Hong-lin OUYANG, Le-yi XIAO

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Otsu thresholding method based on projection of cross section for image segmentation by Chao-dong FAN, Hong-lin OUYANG, Le-yi XIAO

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