Comparative Study on EDM Wire Cutting and CO2 Laser Cutting for High‐Precision Stainless Steel Sheet Processing by A. Parthiban, K. Ananthakumar, S. Ajith Arul Daniel, S. Sivaganesan, T. Sathish, Jayant Giri, A. Johnson Santhosh, Ahmad O. Hourani

“…Using a multi‐objective optimization approach based on Genetic Algorithms, the study demonstrates a significant enhancement in surface roughness. …”
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Microplastics in food products: Prevalence, artificial intelligence based detection, and potential health impacts on humans by M. Amin Mir, Muhammad Azhar Ali Khan, Bimal Krishna Banik, Syed M. Hasnain, Lina Alzayer, K. Andrews, Sani I. Abba

“…Concerns about nanoplastics' toxicity are heightened by their capacity to cross biological barriers and build up in tissues. The research also highlights the necessity of better detection methods, like multispectral imaging and AI-based algorithms, to increase the precision and effectiveness of microplastic identification in food. …”
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Deterministic cascade evolution in coal and gas outbursts: From early acoustic signatures to system-wide failure by Yang Lei, Zhijie Wen, Liang Wang, Ting Ren, Yujun Zuo

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Lithological mapping and spectroscopic studies of carbonatite and clinopyroxenite from Hogenakkal carbonatite complex, India by Saraah Imran, Sourav Bhattacharjee, Ajanta Goswami, Aniket Chakrabarty

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Wearable Solutions Using Physiological Signals for Stress Monitoring on Individuals with Autism Spectrum Disorder (ASD): A Systematic Literature Review by Sandra Cano, Claudio Cubillos, Rodrigo Alfaro, Andrés Romo, Matías García, Fernando Moreira

“…We used the Scopus, PubMed, WoS, and IEEE-Xplore databases to search for studies published from 2014 to 2024 to answer four research questions related to wearable solutions for individuals with ASD, physiological parameters, and techniques/processes used for stress detection. …”
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An Approach for Multi-Source Land Use and Land Cover Data Fusion Considering Spatial Correlations by Jing Yang, Yiheng Jiang, Qirui Song, Zheng Wang, Yang Hu, Kaiqiang Li, Yizhong Sun

“…As one of the foundational datasets in geographical information science, land use and land cover (LULC) data plays a crucial role in the study of human–environment interaction mechanisms, urban sustainable development, and other related issues. Although existing research has explored land use type recognition from remote sensing imagery, interpretation algorithms, and other perspectives, significant spatial discrepancies exist between these data products. …”
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A gender critique of the EU directive on platform work from the perspective of feminised and racialised labour by Nelli Kambouri

“…Based on the relevant literature, the article explores the gendered challenges that will emerge from its implementation especially regarding reproductive labour and algorithmic biases. More specifically the analysis uses existing research on intersectional gender inequalities from different areas of platform work, mostly crowdwork and domestic and care work, to explore how it will impact on the platform economy. …”
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Kernel machine tests of association using extrinsic and intrinsic cluster evaluation metrics. by Alexandria M Jensen, Peter DeWitt, Brianne M Bettcher, Julia Wrobel, Katerina Kechris, Debashis Ghosh

“…Modeling the network topology of the human brain within the mesoscale has become an increasing focus within the neuroscientific community due to its variation across diverse cognitive processes, in the presence of neuropsychiatric disease or injury, and over the lifespan. Much research has been done on the creation of algorithms to detect these mesoscopic structures, called communities or modules, but less has been done to conduct inference on these structures. …”
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Energy Consumption Analysis of ISO/IEC 29192-2 Standard Lightweight Ciphers by Bora Aslan

“…The first stage of this research focused on the CLEFIA, PRESENT, and LEA algorithms outlined in the ISO/IEC 29192-2:2019 standard. …”
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ALGEBRAIC CRYPTANALYSIS ON NTRU-HPS AND NTRU-HRSS by Fadila Paradise, Kiki Ariyanti Sugeng

“…In this paper, algebraic cryptanalysis is performed on NTRU-HPS with q=2048, n=509 (ntruhps2048509) and NTRU-HRSS with n=701 (ntruhrss701). This research aims to evaluate the resistance of NTRU-HPS and NTRU-HRSS algorithms against algebraic cryptanalysis by reconstructing the private key value. …”
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Housing Value Forecasting Based on Machine Learning Methods by Jingyi Mu, Fang Wu, Aihua Zhang

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No-Regret Learning and Equilibrium Computation in Quantum Games by Wayne Lin, Georgios Piliouras, Ryann Sim, Antonios Varvitsiotis

“…This paper delves into the dynamics of quantum-enabled agents within decentralized systems that employ no-regret algorithms to update their behaviors over time. Specifically, we investigate two-player quantum zero-sum games and polymatrix quantum zero-sum games, showing that no-regret algorithms converge to separable quantum Nash equilibria in time-average. …”
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Information in Plant Life and Development: A Biosemiotic Approach by Peter W. Barlow

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Digital Guillotines :Symbolism and Posthuman Disintegration in Mohsin Hamid’s Exit West by Khalid Sakar

“…Through close analysis of five central symbols—doors, smartphones, void spaces, the algorithmic gaze, and the refugee body—the study explores how Hamid dramatizes ontological disintegration under conditions of technological mediation and algorithmic control. …”
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Efficient Context-Preserving Encoding and Decoding of Compositional Structures Using Sparse Binary Representations by Roman Malits, Avi Mendelson

“…One of the algorithms in this field is called context-dependent thinning (CDT). …”
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40 Gb/s Mode-Division Multiplexed DD-OFDM Transmission Over Standard Multi-Mode Fiber by Jiawei Luo, Jianping Li, Qi Sui, Zhaohui Li, Chao Lu

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Overview of smart sensors based on machine learning by Wang Shuaida, Lin Guanying, Wang Nuansheng, Li Yang, Yin Meihua

“…With the rapid development of machine learning, intelligent models created by machine learning algorithms are gradually becoming the core part of new sensor data analysis. …”
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From nature to computation: Bio-inspired optimization techniques and applications by Goswami Chandrashekhar, Shieh Chin-Shiuh, Chakrabarti Prasun

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Reliable Fault Diagnosis of Rotary Machine Bearings Using a Stacked Sparse Autoencoder-Based Deep Neural Network by Muhammad Sohaib, Jong-Myon Kim

“…Due to enhanced safety, cost-effectiveness, and reliability requirements, fault diagnosis of bearings using vibration acceleration signals has been a key area of research over the past several decades. Many fault diagnosis algorithms have been developed that can efficiently classify faults under constant speed conditions. …”
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A team-based multitask data acquisition scheme under time constraints in mobile crowd sensing by Zhaohua Zheng, Zhaobin Qin, Keqiu Li, Tie Qiu

“…However, participant selection is based on the individual in many research. The efficiency of individual recruitment is low. …”
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