Lipid-Metabolism-Related Gene Signature Predicts Prognosis and Immune Microenvironment Alterations in Endometrial Cancer by Zhangxin Wu, Yufei Nie, Deshui Kong, Lixiang Xue, Tianhui He, Kuaile Zhang, Jie Zhang, Chunliang Shang, Hongyan Guo

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Analysis of world experience in the use of artificial intelligence in traffic control systems at various levels by D. V. Navoi, D. V. Kapski, N. A. Filippova, I. N. Pugachev

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Relocation Optimization for Shared Electric Vehicles: A Literature Review by Ye Zou, Qian Yu, Dongming Jiang, Youjun Deng

“…The paper finally provides some interesting future research topics, such as considering the nonlinear charging process of electric vehicles in the process of constructing relocation optimization models and designing algorithms for shared electric vehicles.…”
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Marine Soundscape Monitoring Enabled by Artificial Intelligence-Aided Integrated Distributed Sensing and Communications by Juan M. Marin, Wahyu Hendra Gunawan, Alaaeddine Rjeb, Islam Ashry, Baoshi Sun, Talha Ariff, Chun Hong Kang, Tien Khee Ng, Shinkyu Park, Carlos M. Duarte, Boon S. Ooi

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Actor-Critic Traction Control Based on Reinforcement Learning with Open-Loop Training by M. Funk Drechsler, T. A. Fiorentin, H. Göllinger

“…The use of actor-critic algorithms can improve the controllers currently implemented in automotive applications. …”
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Energy management system design for high energy consuming enterprises integrating the Internet of Things and neural networks by Zhaolin Wang, Zhiping Zhang

“…The combination of neural network model prediction and optimization algorithms can achieve real-time monitoring, prediction, and optimization control of energy consumption. …”
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Perbandingan Random Forest dan Convolutional Neural Network dalam Memprediksi Peralihan Pelanggan by Dewa Adji Kusuma, Atika Ratna Dewi, Andreas Rony Wijaya

“…The limitation of this research is how to handle the two algorithms being compared. …”
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The digital geographies of tact by Mike Duggan

“…This article outlines a research agenda for the spatialities of tact produced by, through and of digital spaces. …”
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Drug discovery and mechanism prediction with explainable graph neural networks by Conghao Wang, Gaurav Asok Kumar, Jagath C. Rajapakse

“…The unprecedented development of machine learning and deep learning algorithms has expedited the drug response prediction research. …”
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Unmasking social bots: how confident are we? by James Giroux, Gangani Ariyarathne, Alexander C. Nwala, Cristiano Fanelli

“…Despite the progress made in developing multiple sophisticated social bot detection algorithms and tools, bot detection remains a challenging, unsolved problem that is fraught with uncertainty due to the heterogeneity of bot behaviors, training data, and detection algorithms. …”
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Quantum-enhanced intelligent system for personalized adaptive radiotherapy dose estimation by Radhey Lal, Rajiv Kumar Singh, Dinesh Kumar Nishad, Saifullah Khalid

“…Abstract This research introduces a novel quantum-enhanced intelligent system tailored for personalized adaptive radiotherapy dose estimation. …”
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Energy-Saving Techniques in the Next Generation of Mobile Communication Networks by Viroslava Kapustynska

“…By balancing energy saving and the quality of service, base station energy savings of about 15% can be achieved. In modern research, dynamic network scaling algorithms are more often presented, and location management investigation has been identified as a solution that can help improve energy-saving techniques and keep the quality of service at the optimal level.…”
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Effectiveness of Explainable Artificial Intelligence (XAI) Techniques for Improving Human Trust in Machine Learning Models: A Systematic Literature Review by In-On Wiratsin, Chaiyong Ragkhitwetsagul

“…Most decision-making processes worldwide are increasingly relying on artificial intelligence (AI) algorithms to enhance human welfare. Explainable Artificial Intelligence (XAI) techniques are pivotal in addressing the bottlenecks of utilizing machine learning (ML) algorithms, aiming to enhance human trust by providing transparency and interpretability. …”
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A Scoping Study on Lightweight Cryptography Reviews in IoT by Ikenna Rene Chiadighikaobi, Nurliza Katuk

“…Many scholarly studies in literature report the enhancement of conventional cryptographic algorithms and the development of new algorithms. This significant number of studies resulted in the rise of many review studies on LWC in IoT. …”
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Artificial intelligence in primary aldosteronism: current achievements and future challenges by Yisi Xu, Benjin Liu, Xuqi Huang, Xudong Guo, Ning Suo, Shaobo Jiang, Hanbo Wang

“…For diagnosis, AI-driven algorithms have further enhanced the specificity of PA identification. …”
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Real Time 3D Internal Building Directory Map by Zi Yang Chia, Pey Yun Goh

“…Among the indoor positioning technologies, WLAN is the most convenient and cost effective. In recent research, machine learning algorithms have become popular and utilized in wireless indoor positioning to achieve better performance. …”
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Optimization and prediction of corporate credit rating through advanced feature selection based on AI and deep learning by Jumanah Ahmed Darwish

“…We assess the effectiveness of these algorithms by comparing their predictive accuracy with all available features and with a reduced set of selected features. …”
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Discovery of Meaningful Rules by using DTW based on Cubic Spline Interpolation by Luis Alexander Calvo-Valverde, David Elías Alfaro-Barboza

“…The discovery of meaningful rules is achieved through efficient algorithms, equipped with a robust and accurate distance measure. …”
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Artificial intelligence techniques applications in the wastewater: A comprehensive review by Zakur Yahya, Márquez Fausto, Al-Taie Ali, Alsaidi Saif, Alsadoon Abeer, Mirashrafi Seyed Bagher, Flaih Laith, Zakoor Yousif

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Continuous audit model: data integration framework by Mauricio Mello Codesso, Paulo Caetano da Silva, Miklos A. Vasarhelyi, Rogério João Lunkes

“…With the deepening of Audit Data Standard and  XBRL, as well as creating a basis for future research with the integration of extraction, analysis, and exception detection algorithms that are used by CA. …”
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