Aggregate Queries in Wireless Sensor Networks by Jeong-Joon Kim, In-Su Shin, Yan-Sheng Zhang, Dong-Oh Kim, Ki-Joon Han

“…Existing representative in-network aggregate query processing techniques propose routing algorithms and data structures for processing aggregate queries. …”
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miRNA-Disease Association Prediction with Collaborative Matrix Factorization by Zhen Shen, You-Hua Zhang, Kyungsook Han, Asoke K. Nandi, Barry Honig, De-Shuang Huang

“…Therefore, it is necessary to design efficient algorithms to identify novel miRNA-disease association. …”
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The importance of improving the legal regulation of animal treatment in terms of preventing cruelty by V. S. Seliukov

“…Such improvements are aimed at clearly defining procedural algorithms for detecting, recording, preventing and suppressing cruelty to animals.…”
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DESIGN OF A PROPERTY PRODUCT RECOMMENDATION SYSTEM USING ASSOCIATION RULE METHOD BASED ON USER INTERACTION PATTERNS by Susi Wagiyati Purtiningruma, Yudi Irawan Chandrab, Dian Gustinaa, Nafisah Yuliania, Fahrul Nurzamana, Jhonny Z.Aa, Agus Wismoa

“…Data-driven insights and adaptability improve property search by proposing homes depending on user engagement patterns. Strong algorithms establish location, budget, and property associations, and association rule technology and user interaction patterns increase property recommendations. …”
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STURM-Flood: a curated dataset for deep learning-based flood extent mapping leveraging Sentinel-1 and Sentinel-2 imagery by Nicla Notarangelo, Charlotte Wirion, Frankwin van Winsen

“…Timely assessment and mapping of inundations are crucial for preventive and emergency measures, driving the demand for curated global geospatial data to implement novel algorithms. This study introduces the STURM-Flood dataset, a high-quality, open-access, and DL-ready resource for flood extent mapping using Sentinel-1 and Sentinel-2 satellite imagery, combined with ground-truth data from the Copernicus Emergency Management Service. …”
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The Convergence of AI and animal-inspired robots for ecological conservation by Naqash Afzal, Mobeen ur Rehman, Lakmal Seneviratne, Irfan Hussain

“…Furthermore, this approach provides a novel means to study species that are difficult to observe directly, due to their elusive nature or the inaccessibility of their habitats.The collaborative interaction between AI and animal robots opens up avenues for the development of responsive and adaptable conservation strategies. AI algorithms deployed on interactive animal robots can continuously analyze real-time data from the field, allowing for dynamic adjustments in conservation approaches based on emerging patterns and threats. …”
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An image dataset for surveillance of personal protective equipment adherence in healthcare by Wanzhao Yang, Mary S. Kim, Genevieve J. Sippel, Aaron H. Mun, Kathleen H. McCarthy, Beomseok Park, Aleksandra Sarcevic, Marius George Linguraru, Ivan Marsic, Randall S. Burd

“…The R2PPE dataset provides a resource for developing computer vision algorithms for monitoring PPE use in healthcare.…”
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Higher performance enhancement of direct torque control by using Space Vector Modulation for doubly fed induction machine by Gouaamar Radouan, El Fadl Adiba, Bri Seddik, Mekrini Zineb

“…All proposed control algorithms have been subjected to rigorous tests and simulations using a MATLAB/Simulink environment. …”
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Atrial Fibrillation Detection by the Combination of Recurrence Complex Network and Convolution Neural Network by Xiaoling Wei, Jimin Li, Chenghao Zhang, Ming Liu, Peng Xiong, Xin Yuan, Yifei Li, Feng Lin, Xiuling Liu

“…In this paper, R wave peak interval independent atrial fibrillation detection algorithm is proposed based on the analysis of the synchronization feature of the electrocardiogram signal by a deep neural network. …”
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An Overview of Reviews as a Trend Maker in the Field by L. K. Raitskaya, E. V. Tikhonova

“…The authors consider the methodology basics of reviews as a prospective type of scholarly publications, their taxonomy and most popular review types (narrative reviews, bibliometric reviews, systematic reviews, reviews of reviews, scoping reviews, meta-analysis), as well as specific features of procedures and algorithms for conducting reviews. Top 100 of highly cited reviews on higher education from 2010 to 2019 published in high-ranking peer-reviewed journals and indexed in the international database Scopus is based on the traditional methodology that aims to sample the most essential and influential publications of the kind in a well-represented and unbiased way and to subject the sampled reviews to content, bibliometric, and linguistic analyses. based on the inclusion criteria, keywords and methods of objective selection and sampling of the publications to be reviewed and analyzed, the authors singled out the essential thematic clusters in Top-100 list (educational technologies, university, student, teaching, learning, assessment, etc.) and determined the key directions in the review field of study. …”
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Remote sensing image Super-resolution reconstruction by fusing multi-scale receptive fields and hybrid transformer by Denghui Liu, Lin Zhong, Haiyang Wu, Songyang Li, Yida Li

“…Abstract To enhance high-frequency perceptual information and texture details in remote sensing images and address the challenges of super-resolution reconstruction algorithms during training, particularly the issue of missing details, this paper proposes an improved remote sensing image super-resolution reconstruction model. …”
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Artificial intelligence in kidney transplantation: a 30-year bibliometric analysis of research trends, innovations, and future directions by Ying Jia He, Pin Lin Liu, Tao Wei, Tao Liu, Yi Fei Li, Jing Yang, Wen Xing Fan

“…Key research themes include AI-driven advancements in donor matching, deep learning for post-transplant monitoring, and machine learning algorithms for personalized immunosuppressive therapies. …”
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The National Police in the system of administrative delinquency prevention subjects by O. M. Muzychuk

“…The article notes that the introduction of martial law in Ukraine has changed the approach to the organisation of police work, since domestic law enforcement agencies have faced challenges previously unknown to science and practice, in particular, in the area of prevention of administrative delinquency among internally displaced persons, in the de-occupied territories, and in the context of hostilities, which required new algorithms and approaches, as well as consideration of the priorities and principles of activity. …”
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Artificial Neural Network-Based System for PET Volume Segmentation by Mhd Saeed Sharif, Maysam Abbod, Abbes Amira, Habib Zaidi

“…ANN performance evaluation using different training algorithms in both spatial and wavelet domains with a different number of neurons in the hidden layer is also presented. …”
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Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities by Muhammad Alam, Davide Moroni, Gabriele Pieri, Marco Tampucci, Miguel Gomes, José Fonseca, Joaquim Ferreira

“…The effectiveness of the proposed architecture, together with the proposed algorithms, is assessed in field trials.…”
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Machine Learning Approaches to Natural Fiber Composites: A Review of Methodologies and Applications by Sivasubramanian Palanisamy, Nadir Ayrilmis, Kumar Sureshkumar, Carlo Santulli, Tabrej Khan, Harri Junaedi, Tamer Ali Sebaey

“…This work elucidates the functions of the types and applications of the ML algorithms and evolutionary computing techniques, with a particular focus on their applicability within the domain of NFCs. …”
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An Efficient FPGA Implementation of Optimized Anisotropic Diffusion Filtering of Images by Chandrajit Pal, Avik Kotal, Asit Samanta, Amlan Chakrabarti, Ranjan Ghosh

“…Noise removal as a preprocessing step helps to improve the performance of the signal processing algorithms, thereby enhancing image quality. Anisotropic diffusion filtering proposed by Perona and Malik can be used as an edge-preserving smoother, removing high-frequency components of images without blurring their edges. …”
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Selection of suitable reference genes for gene expression studies in HMC3 cell line by quantitative real-time RT-PCR by Martina Fazzina, Matteo Bergonzoni, Francesca Massenzio, Barbara Monti, Flavia Frabetti, Raffaella Casadei

“…The comparative ∆CT method, BestKeeper, Normfinder, geNorm and RefFinder algorithms were used to assess the stability of the candidate genes. …”
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Nuclear Fusion Pattern Recognition by Ensemble Learning by G. Farias, E. Fabregas, I. Martínez, J. Vega, S. Dormido-Canto, H. Vargas

“…In the literature, several popular algorithms can be found to carry out the automatic classification of signals. …”
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Credit card default prediction using ML and DL techniques by Fazal Wahab, Imran Khan, Sneha Sabada

“…Subsequently, various techniques are employed to preprocess the unprocessed data and visually present the outcomes through the use of exploratory data analysis (EDA). Furthermore, the algorithms are hypertuned to evaluate the enhancement in prediction. …”
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