Automated data processing and feature engineering for deep learning and big data applications: A survey by Alhassan Mumuni, Fuseini Mumuni

“…It has also simplified the design of machine learning systems as the learning process is highly automated. …”
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Data-driven modelling of a commercial cold storage system using subspace system identification by Adesola Temitope Bankole, Muhammed Bashir Mu’azu, Habeeb Bello-Salau, Zaharuddeen Haruna

“…The proposed model is stable, robust and suitable for testing linear control algorithms.…”
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Delving into Underwater Image Utility: Benchmark Dataset and Prediction Model by Jiapeng Liu, Yi Liu, Qiuping Jiang

“…To the best of our knowledge, this is the first benchmark dataset for UIUA and also the first model focusing on the specific UIUA problem. …”
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A Hybrid Graph-Based Risk Assessment and Attack Path Detection Model for IoT Systems by Ferhat Arat, Sedat Akleylek, Zaliha Yuce Tok

“…The extensive data processing and communication requirements due to the increasing number of devices and connections have also introduced significant security challenges. …”
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Simultaneous Classification of Objects with Unknown Rejection (SCOUR) Using Infra-Red Sensor Imagery by Adam Cuellar, Daniel Brignac, Abhijit Mahalanobis, Wasfy Mikhael

“…A deployed network must not only recognize the known classes, but it must also reject any new or <i>unknown</i> objects without confusing them to be one of the known classes. …”
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A comprehensive approach to Queue Waiting Time Prediction using Tree-Based Ensembles with Data Balancing and Explainable AI by Tapodhir Karmakar Taton, Bipin Saha, Md. Johirul Islam, Shaikh Khaled Mostaque

“…Furthermore, the challenge of data imbalance in classification tasks has also been addressed here using the Synthetic Minority Oversampling Technique (SMOTE). …”
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Advances in Multi-Source Navigation Data Fusion Processing Methods by Xiaping Ma, Peimin Zhou, Xiaoxing He

“…In recent years, the field of multi-source navigation data fusion has witnessed substantial advancements, propelled by the rapid development of multi-sensor technologies, Artificial Intelligence (AI) algorithms and enhanced computational capabilities. …”
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Expedited re-design of multi-band passive microwave circuits using orthogonal scaling directions and gradient-based tuning by Slawomir Koziel, Anna Pietrenko-Dabrowska, Ubaid Ullah

“…Furthermore, the presented procedure has been shown to be computationally efficient. It is also easy to implement and integrate with a variety of gradient-based optimization procedures of a descent type.…”
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Integrative Role of RNA N7-methylguanosine in epilepsy: Regulation of neuronal oxidative phosphorylation, programmed death and immune microenvironment. by Jiangli Zhao, Qingyuan Sun, Xuchen Liu, Jiwei Wang, Ning Yang, Chao Li, Xinyu Wang

“…Machine learning algorithms were used to identify key m7G regulators (EIF4E3, NUDT3, SNUPN, LSM1, and METTL1), and a nomogram model was constructed based on these findings. …”
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AI in biomedical science: innovations, challenges, and ethical perspectives by Aynur Aliyeva

“…Key technologies such as generative AI platforms, machine learning algorithms, and mobile-based auditory training systems are highlighted. …”
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Development of a manipulator kinematic model using Abb Robot Studio by Артем Бронніков, Марія Бендеберя

“… The subject of the research in the article is the application of control technology and algorithms, construction of the trajectory of movements and interaction with the production environment based on Abb Robot Studio. …”
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Physiological Signals as Predictors of Mental Workload: Evaluating Single Classifier and Ensemble Learning Models by Nailul Izzah, Auditya Purwandini Sutarto, Ade Hendi, Maslakhatul Ainiyah, Muhammad Nubli bin Abdul Wahab

“…The study contributes not only to the creation of a new dataset for specific populations (such as Indonesia) but also to the potential implications for maintaining human cognitive capabilities. …”
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ECG-based heart arrhythmia classification using feature engineering and a hybrid stacked machine learning by Raiyan Jahangir, Muhammad Nazrul Islam, Md. Shofiqul Islam, Md. Motaharul Islam

“…Other conventional machine-learning, bagging, and boosting ensemble algorithms were also explored along with the proposed stack classifiers. …”
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Digital Twin: A Step Towards Smart Cities in Urban Planning, Design and Management by Farshad Shariatpour, Mostafa Behzadfar

“…To achieve this, procedural modelling algorithms have been used in the CityEngine software environment. …”
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Emerging Imaging Technologies in Forensic Medicine: A Systematic Review of Innovations, Ethical Challenges, and Future Directions by Feras Alafer

“…However, high costs, algorithmic biases, data security risks, and the lack of standardized forensic imaging protocols present significant challenges. …”
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Concepts of Work: from Traditional Social-Labor Ideas to Modern Effects of Digital Transformation by Zs. Riczu, G. Melypataki, D. A. Mate

“…The nature and types of crime and criminals, and also the methods and mechanisms of control and preventing them in the light of requirements of criminal policy and criminal justice are highly dependent upon technology and digitalization.…”
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Evaluation of a Polarimetric Contrast Enhancement Technique as Preprocessing Step for Vessel Detection in SAR Images: Comparison of Frequency Bands and Polarimetric Modes by Alejandro Mestre-Quereda, Juan M. Lopez-Sanchez

“…Over the years, numerous automatic ship detection algorithms have been developed, utilizing either single-polarimetric data (i.e., intensity) or leveraging additional information provided by polarimetric sensors. …”
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Screening of serum biomarkers in patients with PCOS through lipid omics and ensemble machine learning. by Ji-Ying Chen, Wu-Jie Chen, Zhi-Ying Zhu, Shi Xu, Li-Lan Huang, Wen-Qing Tan, Yong-Gang Zhang, Yan-Li Zhao

“…Results indicated that different lipid metabolites not only differ between groups but also have close effects on different corresponding clinical indexes. …”
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A hybrid model for multimedia data compression using generative adversarial networks and chaotic encryption by P.T. Sivagurunathan, A. Sridevi

“…The proposed system is also compared with existing techniques like Huffman encoding, JPEG, JPEG2000, run length encoding, discrete cosine transform etcetera and has been concluded that the proposed system performs in a better manner than the existing algorithms in terms of both encryption and compression.…”
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MRFB-Net: A Novel Attention Pooling Network With Modified Receptive Field Block for Uterine Fibroid Segmentation by Yun Jiang, Xiaokang Ding, Hongmei Zhou

“…In addition, ablation experiments also verified the effectiveness of the attention pooling module, modified receptive field block and multilayer feature fusion module.…”
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