Comparative analysis of machine learning algorithms for money laundering detection by Sunday Adeola Ajagbe, Simphiwe Majola, Pragasen Mudali

“…The findings underscore the potential of ML algorithms capability to combat money laundering and indeed enhance anti-money efforts and offer financial institutions a powerful, resource-efficient method for fraud detection in large-scale transaction environments.…”
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Longitudinal Hierarchical Control of Autonomous Vehicle Based on Deep Reinforcement Learning and PID Algorithm by Jialu Ma, Pingping Zhang, Yixian Li, Yuhang Gao, Jiandong Zhao

“…Results demonstrate that the longitudinal control method proposed herein adeptly manages vehicle speed and following distance, thus satisfying the safety requirements of AVs.…”
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Optimum Control Strategy and Performance Simulation of a Constant Temperature and Humidity Air-conditioning System by Li Shen, Shen Jia, Zhang Xuejun, Zheng Youming

“…Due to the large energy compensation caused by the fixed dew point on the cooling coil (CC) in the conventional constant temperature and humidity air-conditioning system, a new system employing a temperature and humidity independent control device(THIC device) in the CC and a method of PID split-range control, is developed in this paper. …”
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“Optimizing the Optimization”: A Hybrid Evolutionary-Based AI Scheme for Optimal Performance by Agathoklis A. Krimpenis, Loukas Athanasakos

“…Optimization algorithms for solving technological and scientific problems often face long convergence times and high computational costs due to numerous input/output parameters and complex calculations. This study focuses on proposing a method for minimizing response times for such algorithms across various scientific fields, including the design and manufacturing of high-performance, high-quality components. …”
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State-Flow Control Based Multistage Constant-Current Battery Charger for Electric Two-Wheeler by P. Balamurugan, Prakhar Agarwal, Devashish Khajuria, Devbrat Mahapatra, S. Angalaeswari, L. Natrayan, Wubishet Degife Mammo

“…The results show that the proposed charging technique with a state flow control approach gives effective and efficient output with reduced THD. Simulation results disclose that the desired parameters are controllable, stable, and effective within the operational limits.…”
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A Deep-Neural-Network-Based Surrogate Model for DC/AC Converter Topology Selection Using Multi-Domain Simulations by Gabriel Avila Saccol, Van-Hai Bui, Wencong Su

“…Results are presented to demonstrate the feasibility of the proposed method.…”
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Sustainable development of bioenergy and soil enhancement based on Kemiri Sunan (Reutealis trisperma) oil and bioprocessing waste by Sulistyo Joko, Dewi Irra Chrisyanti

“…The study employed a bioprocessing method that includes oil extraction and bioprocessing of solid waste into soil enhancers through enzymatic composting fermentation. …”
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Nested sampling for Bayesian model comparison in the context of Salmonella disease dynamics. by Richard Dybowski, Trevelyan J McKinley, Pietro Mastroeni, Olivier Restif

“…Although this has traditionally been done using maximum likelihood-based methods such as Akaike's Information Criterion (AIC), Bayesian methods have gained in popularity because they provide more informative output in the form of posterior probability distributions. …”
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An Improved Convolutional Neural Network (CNN) for Disease Detection and Diagnosis for Multi-crop Plants by Florence Choong Chiao Mei, Bryan Ng Jan Hong

“…The experimental results demonstrate the feasibility and robustness of the method for disease detection in multi-crop plants.…”
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Automatic Brain Tumor Segmentation from MRI using Greedy Snake Model and Fuzzy C-Means Optimization by C. Jaspin Jeba Sheela, G. Suganthi

“…This paper proposes an efficient automatic brain tumor segmentation using Greedy Snake Model and Fuzzy C-Means optimization. …”
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On the Design of Near-Optimal Generalized Block-Based Spatial Modulation With Low Detection Complexity by Yen-Ming Chen, Wei-Lun Lin, Heng Lee, Tsung-Lin Chen

“…Spatial Modulation (SM) and Generalized Spatial Modulation (GSM) have attracted significant attention in the development of spectrally and energy-efficient transmission schemes for multiple-input multiple-output (MIMO) systems. …”
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Antimicrobial Responses to Bacterial Metabolic Activity and Biofilm Formation Studied Using Microbial Fuel Cell-Based Biosensors by Wenguo Wu, Huiya Hong, Jia Lin, Dayun Yang

“…It provides a new and sensitive method for the screening of anti-biofilm drugs.…”
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Multi-Functional Reconfigurable Intelligent Surface Assisted Security Communication Systems Under Imperfect CSI of Eavesdroppers by Rui-Bao Zhang, Dian-Wu Yue, Yu Sun

“…For this nonconvex optimization problem, we combine the penalty dual decomposition method, weighted minimum mean square error (WMMSE) method, S-Procedure Lemma, and general sign-definiteness to design an efficient solution. …”
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Inventory Information System Design at Kian Jaya Farma Pharmacy by Candra Hastuti, Rizki Nur Iman, Resti Rahayu, Fachrudin Pakaja

“…This system was developed using the waterfall method with Visual Studio Code, PHP and PHP My Admin software, while for system testing using the black box method to determine its functionality. …”
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Fast and robust strain signal processing for aircraft structural health monitoring by Cong Wang, Xin Tan, Xiaobin Ren, Xuelong Li

“…The type of noise in structural strain signals is determined by using a statistical analysis method, which can be regarded as a mixture of Gaussian-like (tiny hairy signals) and impulse-like noise (single signals with anomalous movements in peak and valley areas). …”
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Shipbuilding crane manipulator with closed-chain structure: structural design and kinematic performance analysis by Pan Yuchen, Yue Minghang, Deng Zhining, Meng Zhanbin, Li Yufu

“…Traditional shipbuilding crane manipulator is widely used in the process of block lifting and erection of ships, but there are generally problems, such as inflexible output trajectory, limited workspace and low working efficiency. …”
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Steering-Angle Prediction and Controller Design Based on Improved YOLOv5 for Steering-by-Wire System by Cunliang Ye, Yunlong Wang, Yongfu Wang, Yan Liu

“…Moreover, utilizing the backstepping control method and introducing the Lyapunov barrier function enables us to design an adaptive neural network output feedback controller with output constraints. …”
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Multi‐objective optimization of inductive power transfer system with reconfigurable topology for misalignment tolerance by Junfeng Yang, Qiujiang Liu, Xu Yang, Yanru Zhang

“…Moreover, primary zero voltage switching operation is achieved to enable high efficiency. The simulation and the experimental verification are carried out to verify the validity of the proposed method.…”
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Preparation and characterization of thermal neutron sensitive lithium doped polystyrene plastic scintillators by ZHANG Kaihui, LI Xiang, DENG Mingxue, SHI Yun, ZHOU Qi, WANG Ke, CHEN Junfeng

“…However, as the LiME content increases, both the fluorescence intensity and light output of the scintillator gradually decrease. This trend is presumed to be associated with fluorescence quenching effects induced by the doping process.ConclusionsLarge, transparent plastic scintillators doped with up to 12 wt% LiME (equivalent to 0.9 wt% Li) can be successfully synthesized using a thermal polymerization method. …”
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Gird Congestion Management Based on the Renewable Energy Zones and Clustering of Grid Congestion Conditions by Yujiro Tanno, Akihisa Kaneko, Yasuhiro Hayashi, Yuki Itoda, Wataru Wayama, Kevin Tomsovic

“…This study proposes a novel output curtailment method of renewable energy sources (RESs) to mitigate grid congestion while balancing curtailment minimization and fairness among power producers, considering the operational efficiency of system operators. …”
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