DeepDate: A deep fusion model based on whale optimization and artificial neural network for Arabian date classification. by Nour Eldeen Mahmoud Khalifa, Jiaji Wang, Mohamed Hamed N Taha, Yudong Zhang

“…Image recognition based on deep learning algorithms can help to identify and classify the date fruit species, even in natural light.…”
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Tools for forecasting regional economic growth using big data and business intelligence technologies by Afanasev Kirill, Kalinin Aleksandr

“…Further research directions include expanding the analyzed indicators through IoT data and digital platforms, improving machine learning algorithms for economic instability conditions, adapting tools for municipal governance level and developing integration mechanisms with existing regional management information systems.…”
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Enhancing Security for Resource-Constrained Smart Cities IoT Applications: Optimizing Cryptographic Techniques with Effective Field Multipliers by Atef Ibrahim, Fayez Gebali

“…The proposed arithmetic unit demonstrates significant improvements in hardware efficiency and energy consumption compared to state-of-the-art designs, while its systolic architecture provides inherent timing-attack resistance through deterministic operation. …”
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A robot process automation based mobile application for early prediction of chronic kidney disease using machine learning by Md. Hasan Imam Bijoy, Md. Jueal Mia, Md. Mahbubur Rahman, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Tetsuya Shimamura

“…The models’ performance was assessed using accuracy, precision, recall, F1-Score, error rate, AUC, and computational time. Among the tested algorithms, MKR Stacking achieved the highest accuracy of 99.50%, outperforming Random Forest (98.75%) and MKR Voting (98%). …”
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Prediction of Omicron Virus Using Combined Extended Convolutional and Recurrent Neural Networks Technique on CT-Scan Images by Anand Kumar Gupta, Asadi Srinivasulu, Kamal Kant Hiran, Goddindla Sreenivasulu, Sivaram Rajeyyagari, Madhusudhana Subramanyam

“…Researchers are actively increasing and improving distinct mathematical and ML algorithms to forecast the infection. …”
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Assessing Computational Thinking in Engineering and Computer Science Students: A Multi-Method Approach by Farman Ali Pirzado, Awais Ahmed, Sadam Hussain, Gerardo Ibarra-Vázquez, Hugo Terashima-Marin

“…These findings highlight the importance of CT in preparing students for modern challenges and provide a foundation for improving teaching methods and integrating these skills into university programs.…”
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ECO-FRIENDLY MANAGEMENT OF POSTHARVEST DISEASES OF APPLE FRUITS: AN OVERVIEW by Lenuța CHIRA, Elena DELIAN, Liliana BĂDULESCU, Adrian CHIRA

“…Promising results were obtained regarding: (i) improving plants growing environmental conditions and pre harvest practices using fungicides and the application of complementary, environmentally friendly measures; (ii) exploring the epiphytic and endophytic flora with a view to some microorganisms exploitation as biological control agents; (iii) nanomaterials using and of plant extracts, as well as of some resistance chemical inducers; (iv) genetic engineering, omics-based approaches and machine learning algorithms. …”
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Overview of RPA technologies by A. Troianovska, Ye. Batrak, N. Tsopa

“…RPA is a software technology that enables businesses to automate repetitive and boring processes with the use of built-in algorithms created by various RPA platforms and vendors. …”
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A synergistic PCA and C-A fractal approach for high-precision extraction of mineral alteration anomalies from ASTER remote sensing data by Yidan Zhu, Zhichun Wu

“…Traditional remote sensing algorithms struggle to effectively identify altered minerals. …”
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Artificial intelligence in data storage systems by V. V. Zhilin, O. A. Safar'yan

“…Minimization of the human factor in the system operation contributes to the improvement of its work.…”
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Deep-learning structure elucidation from single-mutant deep mutational scanning by Zachary C. Drake, Elijah H. Day, Paul D. Toth, Steffen Lindert

“…AlphaFold2, a deep neural network, vastly outperformed previous algorithms to provide near atomic-level accuracy when predicting protein structures. …”
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Radiologic text correction for better machine understanding by András Kicsi, Klaudia Szabó Ledenyi, László Vidács

“…This approach, enhanced by linguistic analysis and statistical data, improves information retrieval, as demonstrated in machine‐learning‐based classification and rule‐based identification tasks. …”
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THE CONCEPT OF THE MECHANISM FOR THE CONSOLIDATION OF AGRICULTURAL LAND by Nataliya TIURINA, Evgeniy ZAVOROTIN, Alla GORDOPOLOVA, Lyudmila EVSYUKOVA

“…The practical value of the work is that its results contributes improvement of management of land resources in agricultural industry on a national level, increase in economic interest in intensive agricultural production on a private level. …”
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AI-Powered systematic reviews in public and occupational health: Opportunities and ethical challenges by Francesco CHIRICO

“…By addressing these challenges, AI can advance evidence-based practices in public and occupational health, fostering innovation and improving health outcomes globally.…”
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Multi-function supported privacy protection data aggregation scheme for V2G network by Baiji HU, Xiaojuan ZHANG, Yuancheng LI, Rongxin LAI

“…In view of the problem that the functions of the current privacy protection data aggregation scheme were insufficient to meet the increasingly rich application requirements, a multi-function supported privacy protection data aggregation (MFPDA) scheme for V2G network was proposed.By using cryptographic algorithms such as BGN, BLS, and Shamir’s secret sharing, as well as fog computing and consortium blockchain technology, multiple security functions like fault tolerance, resistance to internal attacks, batch signature verification, no need for trusted third parties, and multiple aggregation functions were integrated into one privacy protection data aggregation scheme.Security analysis shows that the proposed scheme can protect data aggregation’s security, privacy and reliability.The performance evaluation shows that the introduction of fog computing can significantly reduce the computing overhead of the control center, and the reduction rate can be as high as 66.6%; the improvement of the consortium blockchain can effectively reduce the communication and storage overhead of the system, and the reduction rate can reach 16.7% and 24.9% respectively.…”
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THE PROBATION OFFICER AS AN AUTHORITY OF CRIMINAL ENFORCEMENT LAW. DEVELOPMENT PROSPECTS IN THE LIGHT OF MODERN TECHNOLOGIES by Tomasz Kalisz

“…The disadvantages include data protection issues, algorithmic biases, user acceptance, dependence on technology, and ethical implications.…”
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A network intrusion detection method designed for few-shot scenarios by Weichen HU, Congyuan XU, Yong ZHAN, Guanghui CHEN, Siqing LIU, Zhiqiang WANG, Xiaolin WANG

“…Existing intrusion detection techniques often require numerous malicious samples for model training.However, in real-world scenarios, only a small number of intrusion traffic samples can be obtained, which belong to few-shot scenarios.To address this challenge, a network intrusion detection method designed for few-shot scenarios was proposed.The method comprised two main parts: a packet sampling module and a meta-learning module.The packet sampling module was used for filtering, segmenting, and recombining raw network data, while the meta-learning module was used for feature extraction and result classification.Experimental results based on three few-shot datasets constructed from real network traffic data sources show that the method exhibits good applicability and fast convergence and effectively reduces the occurrence of outliers.In the case of 10 training samples, the maximum achievable detection rate is 99.29%, while the accuracy rate can reach a maximum of 97.93%.These findings demonstrate a noticeable improvement of 0.12% and 0.37% respectively, in comparison to existing algorithms.…”
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Encoding IoT Data: A Comprehensive Review of Image Transformation Techniques by Suat Özdemir, Feyza Yıldırım Okay, Duygu Altunkaya

“…Recent studies show that transforming IoT data into images improves the performance of the learning model. In this paper, we present a review of these studies which use image transformation/encoding techniques in IoT domain. …”
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A Device for the Rapid Detection of Benzodiazepines and Synthetic Cannabinoids via Fluorescence Spectroscopy and Machine Learning by A. Power, M. Gardner, C. Pudney

“…Current experiments with established supervised-learning algorithms show favourable results in distinguishing Synthetic Cannabinoids. …”
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Control and readout of a 13-level trapped ion qudit by Pei Jiang Low, Brendan White, Crystal Senko

“…Abstract Scaling up the computational space of a quantum system is necessary to demonstrate quantum algorithmic advantage. Currently, including more information carriers is still a physical challenge in general. …”
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