A Unified Approach to Image Recognition and Cryptography via Flexible Weak Inverse Property Quasigroups by Mohammad Mazyad Hazzazi, Muhammad Nadeem, Muhammad Kamran, Muhammad Arshad, Samuel Asefa Fufa

“…Algebra without associativity can be employed to strengthen the security guaranteed by specific cryptographic algorithms and protocols, as well as to establish new chances for accomplishing cryptographic targets such as encryption, hashing, and digital signatures. …”
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Computational intelligence to detect bearing faults using optimal features from motor current signals by G. Geetha, P. Geethanjali

“…The model's efficacy was also compared to the similar work presented in the literature. …”
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Barriers to AI adoption for women in higher education: a systematic review of the Asian context by Usama Kalim, Asha Kanwar, Jiena Sha, Ronghuai Huang

“…Besides highlighting these barriers, the results also shed light on recommendations given by earlier studies that facilitate and encourage women to adopt AI in higher education. …”
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Ant Colony Optimization Using Common Social Information and Self-Memory by Yoshiki Tamura, Tomoko Sakiyama, Ikuo Arizono

“…Some ACO models, not just the ASrank, also suffer from this problem of loss of diversity in route selection. …”
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Effects of Artificial Intelligence Applications on Music and the Music Industry by Buket Gündoğdu, Semih Okcu

“…The study examines the definition of arti f icial intelligence, the turning points behind computers’ introduction to music, the effects of this evolution on the world of music, and the relationship between artificial intelligence and its special context with music. It also offers a perspective on the interaction of music and artificial intelligence today by discussing how technologi cal innovations and algorithms that emerged with electronic music transform music creation processes. …”
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A Novel Method for Estimating State of Power of Lithium-Ion Batteries Considering Core Temperature by Ruixue Zhang, Keyi Wang, Zhilong Yu, Gang Zhao

“…Operation above acceptable limits in terms of current, voltage, and temperature can lead to lithium batteries overheating, increasing the risk of thermal runaway, which can also degrade battery materials more quickly, reducing overall lifespan. …”
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Development of the structure of a computerized information and measurement system based on the analysis of the problems of using an asynchronous electric drive in pumping equipment by Yu.O. Podchashynskyi, Ya.V. Mahaletskyi

“…In addition, the article considers such modern requirements as energy efficiency, prompting a discussion on the optimization of engine operation algorithms and the introduction of modern control systems. …”
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Artificial Intelligence for Unstructured Data Processing by Yohanes Bowo Widodo, Febrianti Widyahastuti, Mohammad Narji, Sondang Sibuea

“…By using deep learning models and advanced algorithms, AI can identify patterns and relationships in complex data, thereby providing deeper insights for better decision making. …”
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A spatially explicit containment modelling approach for escaped wildfires in a Mediterranean climate using machine learning by Gbenga Lawrence Alawode, Pere Joan Gelabert, Marcos Rodrigues

“…Conversely, steep mountainous regions with limited accessibility exhibited lower containment success rates. We also found temperature and windspeed to be critical factors influencing containment success. …”
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Role,application and challenges of IoT in smart EV charging management:a review by Tripti Kunj, Kirti Pal

“…Despite the benefits, challenges such as cybersecurity risks, interoperability barriers, and the lack of communication protocol standardization are also identified. Additionally, the paper emphasizes the importance of adaptive algorithms and machine learning models for predictive maintenance and efficient resource allocation. …”
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The Tragic Downfall and Peculiar Revival of Quaternions by Danail Brezov

“…But, a century later computer algorithms turned the tides, and nowadays we are witnessing a revived interest in the subject, prompted by technology.…”
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Examining prospective mathematics teachers’ computational thinking through the lens of cognitive style by Swasti Maharani, Ardiana Ardiana, Tri Andari

“…The advancement of technology and the demands of the 21st century require prospective mathematics teachers not only to be proficient in content knowledge but also to possess adaptive computational thinking (CT) skills. …”
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Awareness and Perspectives on the Role of Artificial Intelligence in Primary Care: Survey of Rural and Urban Primary Care Physicians in Alberta, Canada by Jose Uriel Perez

“…AI in medicine is often seen as image-focused, but it also includes online appointment scheduling, digitizing medical records, digital consultations, and drug dosage algorithms. …”
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Binary Tree Blockchain of Decomposed Transactions by Davut Çulha

“…To achieve scalability, various methods are applied, including new consensus algorithms, directed acyclic graph solutions, sharding solutions, and off-chain solutions. …”
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Progress on the application of supercomputer brain simulation technology by SUN Zhe

“…This review examines the theoretical principles and technical foundations of supercomputer brain simulation, including distributed parallel algorithms, graphics processing unit (GPU)⁃based acceleration, and multimodal data management. …”
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Assessing wildfire susceptibility in Iran: Leveraging machine learning for geospatial analysis of climatic and anthropogenic factors by Ehsan Masoudian, Ali Mirzaei, Hossein Bagheri

“…Utilizing advanced remote sensing, geospatial information system (GIS) processing techniques such as cloud computing, and machine learning algorithms, this research analyzed the impact of climatic parameters, topographic features, and human-related factors on wildfire susceptibility assessment and prediction in Iran. …”
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MeDML: Med-Dynamic Meta Learning - A multi-layered representation to identify provider fraud in healthcare by Nitish Kumar, Deepak Chaurasiya, Alok Singh, Siddhartha Asthana, Kushagra Agarwal, Ankur Arora

“…We test the dynamically generated meta embedding using various downstream models and show that it outperforms all baseline algorithms for provider fraud prediction task.…”
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The impact of the protein interactome on the syntenic structure of mammalian genomes. by Isa Kristina Kirk, Nils Weinhold, Søren Brunak, Kirstine Belling

“…Conserved synteny is typically defined by sequence similarity. In this study, we also examined whether a functional relationship, here PPI connectivity, can identify syntenic blocks independently of orthology. …”
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Fault classification method for on-board equipment of metro train control system based on BERT-CNN by XU Qian, ZHANG Lei, OU Dongxiu, HE Yunpeng

“…According to the experimental results conducted by the dataset from an on-board signaling department, the proposed method has the best classification performance among models of BERT-CNN, single BERT and word to vector - CNN (word2vec-CNN) using cross-entropy loss function, and it is also better to correctly classify categories with few samples and contributes to the development of a more comprehensive library of fault cases for intelligent operation and maintenance.…”
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Machine Learning for Human Activity Recognition: State-of-the-Art Techniques and Emerging Trends by Md Amran Hossen, Pg Emeroylariffion Abas

“…Additionally, addressing ethical considerations, such as privacy and algorithmic fairness, remains a priority as HAR systems become more pervasive. …”
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