High-Speed All-Optical Encoder and Comparator at 120 Gb/s Using a Carrier Reservoir Semiconductor Optical Amplifier by Amer Kotb, Kyriakos E. Zoiros

“…All-optical encoders and comparators are essential components for high-speed optical computing, enabling ultra-fast data processing with minimal latency and low power consumption. …”
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Leveraging Edge Intelligence for Solar Energy Management in Smart Grids by Trong-Minh Hoang, Tuan-Anh Pham, van-Nhan Nguyen, Duc-Thang Doan, Nhu-Ngoc Dao

“…However, accurate long-term solar energy forecasting remains a critical challenge, especially exploiting specific characteristics of data locality at the edge. This paper introduces an edge intelligence-driven hybrid deep learning model that integrates Temporal Convolutional Networks (TCN) and Gated Recurrent Units (GRU) for precise solar energy prediction. …”
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Towards Malay named entity recognition: an open-source dataset and a multi-task framework by Yingwen Fu, Nankai Lin, Zhihe Yang, Shengyi Jiang

“…Named entity recognition (NER) is a key component of many natural language processing (NLP) applications. The majority of advanced research, however, has not been widely applied to low-resource languages represented by Malay due to the data-hungry problem. …”
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Electron microscopic changes in the nasal membrane of patients with COVID-19 depending on the clinical form and the period of the disease by E. V. Kryukov, K. V. Zhdanov, K. V. Kozlov, V. Yu. Kravtsov, O. V. Mal’tsev, V. S. Sukachev, P. I. Miklush, M. O. Sokolova, V. V. Sharabkhanov, R. I. Glushakov, V. V. Dvoryanchikov, R. R. Achba, D. V. Trishkin, I. I. Azarov

“…However, it is not clear what changes are observed in the cells of the main gate of infection – the mucosa of the mouth and the nose at different clinical forms and at different periods of disease. …”
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Hybrid CNN-GRU Model for Real-Time Blood Glucose Forecasting: Enhancing IoT-Based Diabetes Management with AI by Reem Ibrahim Alkanhel, Hager Saleh, Ahmed Elaraby, Saleh Alharbi, Hela Elmannai, Saad Alaklabi, Saeed Hamood Alsamhi, Sherif Mostafa

“…To anticipate BGL many steps ahead, we propose a novel hybrid deep learning model framework based on Gated Recurrent Units (GRUs) and Convolutional Neural Networks (CNNs), which can be integrated into the Internet of Things (IoT)-enabled diabetes management systems, improving prediction accuracy and timeliness by allowing real-time data processing on edge devices. …”
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An Intelligent Crow Search Optimization and Bi-GRU for Forest Fire Detection System Using Internet of Things by Syed Abdul Moeed, Bellam Surendra Babu, M. Sreevani, B. V. Devendra Rao, R. Raja Kumar and Gouse Baig Mohammed

“…This neural network architecture is capable of processing sequential data from multiple directions, enhancing the system’s ability to predict the spread and intensity of fires. …”
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Ground and abrasive stone tools from the Early Neolithic site of Bataševo (Serbia) by Antonović, D., Dimić, V.

“…The only remarkable trait is the great fragmentation of the tools, already mentioned, which has been noted so far only at the site of Aria Babi in the Iron Gates, as well as the existence of specialised grindstones for processing stone tools. …”

Design of Chinese traditional Jiaoyi (Folding chair) based on Kansei Engineering and CNN-GRU-attention by Xinyan Yang, Nan Zhang, Jiufang Lv, Jiufang Lv, Jiufang Lv

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High-risk human papillomavirus: prevalence, association with clinical and morphological characteristics of invasive cervical cancer by L. S. Mkrtchian, V. I. Kiseleva, B. V. Boyko, L. I. Krikunova, V. A. Petrov, V. R. Gusarova, S. A. Ivanov, A. D. Kaprin, I. A. Zamulaeva

“…A literature search was conducted in electronic databases including the National Center for Biotechnology Information Search database (PubMed/Medline), ResearchGate, Scopus, Web of Science, Cancer Tomorrow, Global cancer observatory, Cochrane Library, eLIBRARY, DisserCat. …”
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Research on Modulation Format Recognition for Underwater Visible Light Communication based on BiGRU by GAO Wendi, WANG Yunkai, XU Chi, XU Zengyi, CHI Nan

“…This algorithm leverages the advantages of BiGRU in sequential data processing and the efficiency of coordinate transformation to effectively extract the signal features, significantly enhancing the modulation format recognition accuracy in underwater environments.…”
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A Hybrid Approach of DenseNet121 with Attention and Bi-LSTM for Yoga Pose Estimation by Aarthy K., Alice Nithya

“…The classification of these poses is performed using a Self-Attention Based Gated Recurrent Unit (SA-GRU) model. This model enhances accuracy by incorporating self-attention mechanisms, allowing the system to focus on significant features within the data. …”
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An ensemble of deep representation learning with metaheuristic optimisation algorithm for critical health monitoring using internet of medical things by Mai Alduailij

“…Initially, the Z-score normalization method is employed in the data pre-processing step to clean, transform, and organize raw data into an appropriate format. …”
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Syngap1 regulates the synaptic drive and membrane excitability of Parvalbumin-positive interneurons in mouse auditory cortex by Ruggiero Francavilla, Bidisha Chattopadhyaya, Jorelle Linda Damo Kamda, Vidya Jadhav, Said Kourrich, Jacques L Michaud, Graziella Di Cristo

“…Together, these data suggest that Syngap1 plays a specific role in the maturation of PV+ cell-intrinsic properties and synaptic drive, and its haploinsufficiency may lead to reduced PV cell recruitment in the adult A1, which could in turn contribute to the auditory processing alterations found in SYNGAP1-ID preclinical models and patients.…”
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Diversity and distribution of nitrifying bacteria play an important role in the nitrogen cycle in mangrove sediments by A. Mubaraq, M. Sembiring, E. Widiastuti, E. Fachrial, B. Utomo, M. Turjaman, F. Sidik, Y.I. Ulumuddin, V.B. Arifanti, E.S. Siregar, T. Kajita, S. Proches, M. Basyuni

“…The Preferred Reporting Items for Systematic Reviews and Meta-Analyses method is used as a guide to help report reviews systematically and has a flow chart to show the process of selecting relevant studies. Data collection was carried out by utilizing 6 databases and journal search engines including Scopus, PubMed, ResearchGate, Google Scholar, and Springer in order to achieve more comprehensive findings. …”
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Self-supervised denoising method for single neutron image based on the S2S-NR network by Wangtao Yu, Peng Xu, Xinghui Cai, Man Zhou, Jie Bao

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Research on Network Intrusion Detection Model Based on Hybrid Sampling and Deep Learning by Derui Guo, Yufei Xie

“…Additionally, the ResNet network is adapted into a one-dimensional version that is more suitable for processing time-series data, while the AdamW optimizer is employed to improve the convergence speed and generalization ability during model training. …”
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Tropical cyclone track prediction harnessing deep learning algorithms: A comparative study on the Northern Indian Ocean by Sabbir Rahman, M. Fahim Faisal, Prianka Mondal, Md. Mahfuzur Rahman

“…Given the nonlinear and highly dynamic nature of cyclone movements, deep learning models offer a promising approach by effectively capturing long-term dependencies and processing sequential meteorological data. Utilizing an extensive dataset of historical cyclone tracks and atmospheric parameters, we systematically compare these models across multiple performance metrics, including Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE). …”
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Optogenetic stimulation of inferior colliculus neurons elicits mesencephalic locomotor region activity and reverses haloperidol-induced catalepsy in rats by José A. Pochapski, Jan Franke, Wolfgang Kruse, Ralf Jacob, Stefan Herlitze, Claudio Da Cunha, Rainer K. W. Schwarting, Liana Melo-Thomas

“…We hypothesized that this amelioration stems from a sensory-motor gating mechanism via IC activation of the mesencephalic locomotor region (MLR). …”
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High‐Throughput MicroED for Probing Ion Channel Dynamics by Marc J Gallenito, Max TB Clabbers, Jieye Lin, Johan Hattne, Tamir Gonen

“…This approach utilizes automated data collection and processing to capture distinct structural substates from a large number of microcrystals, offering a deeper understanding of ion channel mechanisms. …”
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A KWS System for Edge-Computing Applications with Analog-Based Feature Extraction and Learned Step Size Quantized Classifier by Yukai Shen, Binyi Wu, Dietmar Straeussnigg, Eric Gutierrez

“…A 16-channel analog filter bank is employed for audio feature extraction, followed by a digital Gated Recurrent Unit (GRU) classifier. The filter bank is behaviorally modeled, making use of second-order band-pass transfer functions, simulating the analog front-end (AFE) processing. …”
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