Fairness in focus: quantitative insights into bias within machine learning risk evaluations and established credit models by Jacob Ford

“…Abstract As the adoption of machine learning algorithms expands across industries, the focus on how these tools can perpetuate existing biases have gained attention. …”
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Speech Emotion Recognition under White Noise by Chengwei HUANG, Guoming CHEN, Hua YU, Yongqiang BAO, Li ZHAO

“…Two speech enhancement algorithms are introduced for improved emotion classification. …”
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A Comprehensive Survey on AI in Counter-Terrorism and Cybersecurity: Challenges and Ethical Dimensions by Ioannis Syllaidopoulos, Klimis S. Ntalianis, Ioannis Salmon

“…However, critical concerns such as algorithmic bias, data quality limitations, and governance challenges introduce significant obstacles to their deployment. …”
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StopSpamX: A multi modal fusion approach for spam detection in social networking by Dasari Siva Krishna, Gorla Srinivas

“…The main difficulty arises while we deal with the spam data. So, this problem of spam data should be properly handled. …”
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Application of machine learning to stress corrosion cracking risk assessment by Aeshah H. Alamri

“…The fundamentals of machine learning algorithms and stress corrosion cracking were presented. …”
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Deep reinforcement learning for inverse inorganic materials design by Christopher Karpovich, Elton Pan, Elsa A. Olivetti

“…Our models successfully learn chemical guidelines such as negative formation energy, charge neutrality, and electronegativity balance while maintaining high chemical diversity and uniqueness. …”
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Accuracy measurement of automatic remeshing tools by Mattia Sullini

“…<p>Surface Reconstruction from raw Pointclouds generates polygonal meshes characterised by typical local issues that need to be addressed by a global reorganisation of mesh connectivity during the Remeshing process. While in the applications for which remeshing algorithms have historically been developed, the problem can be addressed without affecting the mesh polycount, for the authoring of 3D assets intended for Real-Time Rendering applications, maintaining a low polycount is mandatory. …”
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GREEN ECONOMY AND HOLISTIC PLANNING BY ARTIFICIAL INTELLIGENCEAPPLICATION by STEVOVIC IVAN, HADROVIĆ SABAHUDIN, JOVANOVIC MIHAILO

“…On the one hand, IT such as machine learning, data analytics, and optimization algorithms offer immense potential to enhance resource efficiency, optimize energy systems, and facilitate sustainable decision-making processes. …”
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The Role of Artificial Intelligence in Criminal Investigations in India by Kumar Navin

“…Predictive policing algorithms can be used to predict crime hotspots, while facial recognition systems can help identify suspects in a matter of minutes rather than hours and days taken in the manual methods. …”
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REGIONS GROUPING IN CENTRAL SULAWESI PROVINCE BY TRANSMITTED DISEASE USING FUZZY GUSTAFSON KESSEL by Mohammad Fajri, Rais Rais, Lilies Handayani

“…Data with similar characteristics will be gathered in one group. One of the algorithms in cluster analysis is Fuzzy Gustafson Kessel which can produce relatively better groupings compared to the basic algorithms in cluster analysis. …”
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Design of Gain-Scheduled Lateral Controllers for Autonomous Vehicles by Ákos Bokor, Ádám Szabó, Szilárd Aradi, László Palkovics

“…The results show that while traditional controllers, such as Pure Pursuit, perform adequately under constant speed conditions, adaptive model-based algorithms significantly enhance the performance, especially in dynamic driving situations involving speed variations.…”
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Prediction on rock strength by mineral composition from machine learning of ECS logs by Dongwen Li, Xinlong Li, Li Liu, Wenhao He, Yongxin Li, Shuowen Li, Huaizhong Shi, Gaojian Fan

“…This study proposes the use of Random Forest and Transformer algorithms to predict rock strength from Elemental Capture Spectroscopy (ECS) logs. …”
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VERITAS: Harnessing the power of nomenclature in biologic discovery by Riti Biswas, Ed Belouski, Kevin Graham, Michelle Hortter, Marissa Mock, Christine E. Tinberg, Alan J. Russell

“…VERITAS names are easy to understand while drawing direct connections to the structure of a given format, with or without specific target information, making these names useful to adopt in scientific discourse and as inputs to machine learning algorithms for drug development.…”
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Research on cryptographic technology of future network information system by Liu Xiaokai, Wang Wendong, Yang Pengfei, Yang Jiangshuai, Meng Xiangbin

“…In the future, network information systems will also face new threats and attack risks while introducing emerging technologies. This paper focuses on the characteristics of future network information system multi-domain integration, ubiquitous perception, intelligence, service customization and endogenous security, conducts security and confidentiality demand analysis and security threat and risk analysis, and designs a technology including cryptographic software and hardware platform technology, cryptography algorithms and protocols, cryptographic applications and security goals, hierarchical cryptographic architecture oriented to the future network information system.…”
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Machine learning approaches for predicting the link of the global trade network of liquefied natural gas. by Pei Zhao, Hao Song, Guang Ling

“…This study demonstrates that machine learning algorithms-specifically random forest and decision tree-outperform in predicting links within the global LNG trade network based on local information proximity, while the graph attention network, a deep learning model, exhibits stable optimization and effective feature learning. …”
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The optimization path of agricultural industry structure and intelligent transformation by deep learning by Xingchen Pan, Jinyu Chen

“…The results demonstrate that the proposed method outperforms conventional algorithms in regression tasks, particularly in terms of computational efficiency, data processing speed, and model training stability, while also exhibiting high scalability. …”
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Regulación Saturada con Ganancia Variable Derivativa de Robots Manipuladores by Miguel A. Limón-Díaz, Fernando Reyes-Cortés, Emilio J. González-Galván

“…Palabras clave: Regulador, Función de saturación, Ganancia Variable, Manipulador robótico, Algoritmos de control, Keywords: Regulator, Variable gain, Robotic manipulator, Control algorithm…”
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Machine Learning-Driven D-Glucose Prediction Using a Novel Biosensor for Non-Invasive Diabetes Management by Pardis Sadeghi, Shahriar Noroozizadeh, Rania Alshawabkeh, Nian Xiang Sun

“…Advanced models, such as Convolutional Neural Networks and Recurrent Neural Networks, were used to analyze resistance signals, while classical algorithms served as benchmarks. …”
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A Comprehensive Survey on Coverage Path Planning for Mobile Robots in Dynamic Environments by K. P. Jayalakshmi, Vishnu G. Nair, Dayakshini Sathish

“…Coverage Path Planning (CPP) is a fundamental aspect of mobile robotics, enabling robots to navigate dynamic environments efficiently while ensuring thorough coverage of all areas of interest and avoiding obstacles. …”
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Synchronous Routing for Personal Rapid Transit Pods by Mehdi Mrad, Olfa Chebbi, Mohamed Labidi, Mohamed Ali Louly

“…Experiments are run on 1320 randomly generated test problems with various sizes. Our algorithms are shown to give good results over large trip instances.…”
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