Opposition-based learning techniques in metaheuristics: classification, comparison, and convergence analysis by Rihab Lakbichi, Farouq Zitouni, Saad Harous, Aridj Ferhat, Abdelhadi Limane, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

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Security in Post-Quantum Era: A Comprehensive Survey on Lattice-Based Algorithms by Hien Nguyen, Samsul Huda, Yasuyuki Nogami, Tuy Tan Nguyen

“…Lattice-based post-quantum cryptography (PQC) has attracted significant attention as a promising solution to the security challenges posed by quantum computing. Unlike traditional cryptographic algorithms, lattice-based schemes are expected to remain secure even in the presence of quantum attacks, making them essential for securing future data. …”
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Research on the application of improved MCMC algorithm in the measurement of high-dimensional financial data by Naijia Liu, Yuchao Su

“…In the face of high-dimensional financial data econometric analysis, numerous algorithms inevitably face problems such as difficult model identification, too slow convergence, and too long iteration time. …”
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A Review of Abnormal Crowd Behavior Recognition Technology Based on Computer Vision by Rongyong Zhao, Feng Hua, Bingyu Wei, Cuiling Li, Yulong Ma, Eric S. W. Wong, Fengnian Liu

“…First, the crowd level and abnormal behaviors in public places are defined, and the challenges faced by abnormal crowd behavior recognition are expounded. …”
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A bioinspired in-materia analog photoelectronic reservoir computing for human action processing by Hangyuan Cui, Yu Xiao, Yang Yang, Mengjiao Pei, Shuo Ke, Xiao Fang, Lesheng Qiao, Kailu Shi, Haotian Long, Weigao Xu, Pingqiang Cai, Peng Lin, Yi Shi, Qing Wan, Changjin Wan

“…Abstract Current computer vision is data-intensive and faces bottlenecks in shrinking computational costs. …”
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Hybrid metaheuristic optimization for detecting and diagnosing noncommunicable diseases by Saleem Malik, S. Gopal Krishna Patro, Chandrakanta Mahanty, Saravanapriya Kumar, Ayodele Lasisi, Quadri Noorulhasan Naveed, Anjanabhargavi Kulkarni, Abdulrajak Buradi, Addisu Frinjo Emma, Naoufel Kraiem

“…These algorithms aim to address the challenges of feature selection, computational complexity, and disease classification accuracy. …”
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Leveraging computer-aided drug design for the discovery of phytohormone analogs: A review by Yuling Guo, Ghulam Qanmber, Zhao Liu, Han Yang, Jun Li, Zhikun Yang, Zhongxian Li, Linlin Yang, Zuoren Yang

“…The pursuit of phytohormone analogs via CADD, however, faces significant challenges. These include the need for more accurate models and advanced algorithms to predict hormone-receptor interactions and metabolic pathways. …”
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Development of the TSR-based computational method to investigate spike and monoclonal antibody interactions by Tarikul I. Milon, Titli Sarkar, Titli Sarkar, Yixin Chen, Jordan M. Grider, Feng Chen, Jun-Yuan Ji, Seetharama D. Jois, Konstantin G. Kousoulas, Vijay Raghavan, Wu Xu

“…However, the field of computational biology has faced substantial challenges due to the lack of methods for precise protein structural comparisons and accurate prediction of molecular interactions. …”
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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. …”
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Exploring the State-of-the-Art Algorithms for Brain Tumor Classification Using MRI Data by Joice J Anish, D Ajitha

“…The study also looks at how well AI algorithms work now, what problems they face, and what possible research paths they could follow in the future. …”
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Performance Evaluation of Some Selected Classification Algorithms in a Facial Recognition System by Michael Olumuyiwa Adio, Ogunmakinde Jimoh Ogunwuyi, Mayowa Oyedepo Oyediran, Adebimpe Omolayo Esan, Olufikayo Adepoju Adedapo

“…While the fourth stage is face recognition classification, Receiver Operating Characteristics (ROC) was used to test the performance of each the three algorithms. …”
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Implementation of SVM Algorithm to Predict Song Popularity based on Sentiment Analysis of Lyrics by Quiin Latifah Almatin Lubis, Arif Akbarul Huda

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Algorithms Facilitating the Observation of Urban Residential Vacancy Rates: Technologies, Challenges and Breakthroughs by Binglin Liu, Weijia Zeng, Weijiang Liu, Yi Peng, Nini Yao

“…However, they require high data quality and are prone to overfitting phenomenon. Deep learning algorithms can automatically learn feature representation, perform well in processing large amounts of high-dimensional and complex data, and can effectively deal with the challenges brought by various data sources, but the training process is complex and the computational cost is high. …”
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UNVEILING GENDER FROM INDONESIAN NAMES USING RANDOM FOREST AND LOGISTIC REGRESSION ALGORITHMS by Musthofa Galih Pradana, Pujo Hari Saputro, Dyah Listianing Tyas

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Artificial Intelligence (AI) and the University. How AI Will Change Our Approach to Education by Jacek Grzybowski

“…The current expansion of AI is leading to situations where we will not be able to verify whether a given work of literature or a piece of art are the result of human effort (i.e. whether they have come into being as a result of human creativity) or whether they have been generated by computer programming algorithms. We are already aware of the impact that artificial intelligence is having on our everyday lives, so we cannot disregard its influence on educational tasks appertaining to schools and universities. …”
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Solving Full N×N×N Rubik’s Supercube Using Genetic Algorithm by Robert Świta, Zbigniew Suszyński

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Simulation of automatic intrusion detection in university networks by using neural network algorithms by Houdun Xu

“…With the rapid development of computers and the Internet, university networks are facing more and more network intrusion threats, and it is necessary to develop an automatic detection method based on neural network algorithms. …”
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Enhancing Performance of Credit Card Model by Utilizing LSTM Networks and XGBoost Algorithms by Kianeh Kandi, Antonio García-Dopico

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Deep learning and fuzzy algorithm in improving the effectiveness of college English translation teaching by Biao Kong, Che He

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Optimizing Lattice Basis Reduction Algorithm on ARM V8 Processors by Ronghui Cao, Julong Wang, Liming Zheng, Jincheng Zhou, Haodong Wang, Tiaojie Xiao, Chunye Gong

“…However, current LLL algorithms face challenges such as inadequate adaptation to domestic supercomputers and low efficiency. …”
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