Optimizing ML models for cybercrime detection: balancing performance, energy consumption, and carbon footprint through multi-objective optimization by Romil Rawat

“…Abstract This study aims to enhance computational performance while minimizing environmental impact in AI (Artificial Intelligence) and ML (Machine Learning) applications, especially in cybersecurity, by developing energy-efficient models using a multi-objective optimization approach. The research utilizes the Non-Dominated Sorting Genetic Algorithm II (NSGA-II), a multi-objective evolutionary algorithm (MOEA), to reduce data dimensionality and identify key features for traffic analysis related to global human trafficking (HTr). …”
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Using Event Logs for Local Correction of Process Models by Alexey A. Mitsyuk, Irina A. Lomazova, Wil M.P. van der Aalst

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Upper Elevational Limit of Vegetation in the Himalayas Identified from Landsat Images by Bo Wei, Yili Zhang, Linshan Liu, Binghua Zhang, Dianqing Gong, Changjun Gu, Lanhui Li, Basanta Paudel

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Surgical Treatment of Chronic Infectious Cervicothoracic Spondylitis by Denis G. Naumov, Sergey G. Tkach, Gamzat B. Aliev, Arkadiy A. Vishnevskiy, Petr K. Yablonskiy

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Resource Allocation in User-Centric Cell-Free Massive MIMO URLLC Systems With Network Slicing by Han Lu, Weiwei Xia, Weiwei Miao, Mingxuan Zhang, Feng Yan, Lianfeng Shen

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Intelligent decision-making and regulation method of gas extraction “borehole-pipe network” system by Kai WANG, Dongxu WANG, Aitao ZHOU, Junwen ZHANG, Fangzhou SONG, Chang’ang DU, Yushuang HAO, Xihui FAN, Wei ZHAO

“…Therefore, in order to regulate the negative pressure of gas extraction system reasonably and accurately, four prediction algorithms are compared and analyzed, and the most excellent prediction algorithm is selected and improved according to its own shortcomings. …”
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Arctic Weather Satellite Sensitivity to Supercooled Liquid Water in Snowfall Conditions by Andrea Camplani, Paolo Sanò, Daniele Casella, Giulia Panegrossi, Alessandro Battaglia

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Motion Control and Obstacle Avoidance of Mobile Robot with Mecanum Wheels by Hassan M. Alwan, Volkov Andrey Nikolavich, Ali Shbani, Kochneva Olga Vladmirovna

“…The results were satisfactory compared to previous research, showing that WMR avoided movable obstacle and returned to the desired path faster than in other investigations.…”
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Enhanced gait tracking measures for individuals with stroke using leg-worn inertial sensors by Francesco Lanotte, Shusuke Okita, Megan K. O’Brien, Arun Jayaraman

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Automated skin melanoma diagnostics based on mathematical model of artificial convolutional neural network by D. A. Gavrilov, E. I. Zakirov, E. V. Gameeva, V. Yu. Semenov, O. Yu. Aleksandrova

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Comparison of Deep Learning Sentiment Analysis Methods, Including LSTM and Machine Learning by Jean Max T. Habib, A. A. Poguda

“…Purpose of research. The purpose of the study is to evaluate certain machine learning models in data processing based on speed and efficiency related to the analysis of sentiment or consumer opinions in business intelligence. …”
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Energy-Efficient Sleep Mode Schemes for Cell-Less RAN in 5G and Beyond 5G Networks by Farinaz Kooshki, Ana Garcia Armada, Md. Munjure Mowla, Adam Flizikowski, Slawomir Pietrzyk

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Integrating Machine Learning Workflow into Numerical Simulation for Optimizing Oil Recovery in Sand-Shale Sequences and Highly Heterogeneous Reservoir by Dung Bui, Abdul-Muaizz Koray, Emmanuel Appiah Kubi, Adewale Amosu, William Ampomah

“…The Artificial Neural Network (ANN) algorithm was found to provide higher field cumulative oil production compared with the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) of 3.5% and 26.5%, respectively. …”
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High-Resolution, Low-Latency Multi-Satellite Precipitation Merging by Correcting with Weather Radar Network Data by Seungwoo Baek, Soorok Ryu, Choeng-Lyong Lee, Francisco J. Tapiador, Gyuwon Lee

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A framework for automatically generating composite keywords for geo-tagged street images

“…Additionally, our proposed ranking algorithm, which extends the term frequency-inverse document frequency (TF-IDF) algorithm, resulted in improvement factors of 0.86 for mean average precision (MAP) and 0.57 for mean reciprocal rank (MRR). …”
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Artificial intelligence to evaluate diagnosed COVID-19 chest radiographs by Bruno Takara, Felipe Freitas, Alexandre Bacelar, Rochelle Lykawka, Mirko Salomon Alva Sanchez

“…We present a Machine Learning algorithm based on Python which can be used to aid COVID-19 diagnosis. …”
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Real-Time Analysis of Athletes’ Physical Condition in Training Based on Video Monitoring Technology of Optical Flow Equation by Cuijuan Wang

“…This article is dedicated to the research of video motion segmentation algorithms based on optical flow equations. …”
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A New Privacy-Preserving Scheme for Continuous Query in Location-Based Social Networking Services by Eric Ke Wang, Yunming Ye

“…We employ cycle as cloaking region form which can effectively alleviate the computation overhead. And we compare it with the earlier algorithm on three aspects. …”
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Comparison of traffic flow prediction based on AR model and BP model by Tingting ZHANG, Wuxiong ZHANG, Dong PEI, Cheng ZHAO, Han YU

“…Traffic flow modeling plays an important role in routing，MAC algorithm and protocol designs in vehicular Ad Hoc networks （VANET）. …”
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Identification and Location Method of Bitter Gourd Picking Point Based on Improved YOLOv5-Seg by Sheng Jiang, Yechen Wei, Shilei Lyu, Hualin Yang, Ziyi Liu, Fangnan Xie, Jiangbo Ao, Jingye Lu, Zhen Li

“…Aiming at the problems of small stems and irregular contours of bitter gourd, which lead to difficult and inaccurate location of picking points in the picking process of mechanical arms, this paper proposes an improved YOLOv5-seg instance segmentation algorithm with a coordinate attention (CA) mechanism module, and combines it with a refinement algorithm to identify and locate the picking points of bitter gourd. …”
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