Deep learning model optimization for crop prediction and recommendation using Harris Hawks optimization by P Latha, Kumaresan P

“…HHO was employed to optimize and achieving 100% accuracy for crop prediction. the deep learning models, such as Bi-LSTM achieved the best performance with an accuracy of 90.23%, precision of 90.66%, recall of 90.22%, and f1-score of 90.01%, excelling in capturing bidirectional dependencies in temporal data. The RNN demonstrated solid results with 84.01% accuracy, 87.82% precision, 84.01% recall, and an f1-score of 81.91%, proving its strength in sequential data processing. …”
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Aurel_AI: Automating an Institutional Help Desk Using an LLM Chatbot by Diego Ordóñez-Camacho, Rafael Melgarejo-Heredia, Mohsen Abbasi, Lucía González-Solis

“…However, they are not without flaws, as they tend to present issues like "hallucinations" when the required information is not present in their training data. …”
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Artificial intelligence in early warning systems for infectious disease surveillance: a systematic review by Ismael Villanueva-Miranda, Guanghua Xiao, Guanghua Xiao, Yang Xie, Yang Xie

“…After screening 600 records and removing duplicates and non-relevant articles, the search yielded 67 relevant studies for review.ResultsKey findings reveal the prevalent use of machine learning (ML), deep learning (DL), and natural language processing (NLP), which often integrate diverse data sources (e.g., epidemiological, web, climate, wastewater). …”
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A Multimodal Large Language Model Framework for Intelligent Perception and Decision-Making in Smart Manufacturing by Tianyu Wang, Bowen Zhang, Daqi Jiang, Dong Li

“…Key contributions include a unified method for representing different data types, dynamic semantic tokenization for better data processing, strong alignment strategies across modalities, and a practical two-stage training method involving initial large-scale pretraining and later fine-tuning for specific tasks. …”
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Survey of Quantum Generative Adversarial Networks (QGAN) to Generate Images by Mohammadsaleh Pajuhanfard, Rasoul Kiani, Victor S. Sheng

“…Primary methods like Entangling Quantum GAN (EQ-GAN) and Quantum state fidelity (QuGAN) concentrate on stability, convergence, and robust performance on small-scale datasets such as 2 × 2 grayscale images. …”
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Revision of the Late Permian Non-Marine Bivalve Genus Verneuilunio Starobogatov, 1987 by M.N. Urazaeva, V.V. Silantiev, R.R. Usmanova

“…The genus Verneuilunio mostly resembles some Late Carboniferous “atypical” unio-like species of the genus Anthraconaia Trueman et Weir. …”
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Channel-shuffled transformers for cross-modality person re-identification in video by Rangwan Kasantikul, Worapan Kusakunniran, Qiang Wu, Zhiyong Wang

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Liver cancer multiomics reveals diverse protein kinase A disruptions convergently produce fibrolamellar hepatocellular carcinoma by David Requena, Jack A. Medico, Luis F. Soto-Ugaldi, Mahsa Shirani, James A. Saltsman, Michael S. Torbenson, Philip Coffino, Sanford M. Simon

“…RNA-seq data of 1412 liver tumors from FLC, hepatocellular carcinoma, hepatoblastoma and intrahepatic cholangiocarcinoma are analyzed, obtaining transcriptomic signatures unrestricted by experimental processing methods. …”
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Refinement of Trend-to-Trend Cross-Calibration Total Uncertainties Utilizing Extended Pseudo Invariant Calibration Sites (EPICS) Global Temporally Stable Target by Minura Samaranayake, Morakot Kaewmanee, Larry Leigh, Juliana Fajardo Rueda

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Building accurate numerical models by Sharapov Dmitry

“…Key strategies such as algorithm optimization, parallel computing, and efficient data management are essential for maximizing computational resources. …”
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Analysis for Industrial Grid Containing Nonlinear Loads by Basim Mohammed Al Kadhimi

“…Harmonics comes from different non-linear loads like uninterruptible power supplies systems (UPS), variable speed motor drives, rectifiers, personal computers, adjustable speed drives, fluorescent lighting, rectifier banks, data processing loads, arc furnaces, and so on. …”
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Artificial intelligence in intelligent transportation systems by Leila Zemmouchi-Ghomari

“…Findings – Using AI in Intelligent Transportation Systems has considerable opportunities for enhancing traffic efficiency, minimizing accidents, and fostering sustainable urban growth. Nonetheless, issues like data quality, real-time processing, security, public acceptability, and privacy concerns need resolution. …”
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Enhanced Skin Lesion Segmentation and Classification Through Ensemble Models by Su Myat Thwin, Hyun-Seok Park

“…The ISIC dataset is balanced through oversampling in classification, and preprocessing techniques such as data augmentation and post-processing are applied in segmentation to increase robustness. …”
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Fog Computing Resource Optimization: A Review on Current Scenarios and Resource Management by Dar et al.

“…The unpredictable and huge data generation nowadays by smart computing devices like (Sensors, Actuators, Wi-Fi routers), to handle and maintain their computational processing power in real time environment by centralized cloud platform is difficult because of its limitations, issues and challenges, to overcome these, Cisco introduced the Fog computing paradigm as an alternative for cloud-based computing. …”
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Microarray Analysis of the Molecular Mechanism Involved in Parkinson’s Disease by Cheng Tan, Xiaoyang Liu, Jiajun Chen

“…Conclusions. “rRNA processing,” “cytoplasm,” “metabolic pathways,” and “TNF signaling pathway” were key pathways involved in PD. …”
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Mobile-AI-Based Docent System: Navigation and Localization for Visually Impaired Gallery Visitors by Hyeyoung An, Woojin Park, Philip Liu, Soochang Park

“…An on-device object detection model reduces delays from large visual data processing, while BLE beacons, fixed across the gallery, dynamically update location IDs for better accuracy. …”
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Information decomposition of airport dynamics: A study of Europe and US by Kishor Acharya, Massimiliano Zanin

“…Within the endeavour of understanding and tackling problems like delays and their propagation, or the optimisation of operations, air transport has customarily been studied through microscale dynamical models, describing the movements of its constituting elements according to sets of pre-hoc hypotheses and rules. …”
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Country-Level Bibliometric Analysis of Edible Insect Research: Geographic Distribution and Contributions to Advancing Sustainable Alternatives for Food and Feed by Budi Wardiman, Asmuddin Natsir, Syahriani Syahrir, Ulva Dianasari, null Ardianto

“…Based on 2291 articles indexed in the Scopus database from 2005 to 2024, the analysis utilized Bibliometrix in R software and VOSviewer for bibliometric visualization. To enhance data processing and presentation, Scimago Graphica, Tableau, and MS Excel were employed for advanced visualizations. …”
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Research on SNN Learning Algorithms and Networks Based on Biological Plausibility by Bingqiang Huo, Fang Li, Siyu Peng, Hongwei Chen, Sudan Xin, Hongjun Wang

“…Spiking Neural Networks, inspired by the brain’s neuronal information processing mech- anisms, utilize sparse, event-based spike signals to emulate biological computation. …”
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Effect of bit-size reduced half-precision floating-point format on image pixel characterization for AI applications by J. Jean Jenifer Nesam, S. Sankar Ganesh, Sitharthan Ramachandran

“…For any image application, it becomes necessary to monitor the area and power trade-offs related to the amount of bits used to process the raw data. This work assists in selecting the bit-size for internal computations based on the accuracy requirements of the application by reporting the area, and power for various bit size reductions. …”
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