MXene-Ti3C2Tx-Based Neuromorphic Computing: Physical Mechanisms, Performance Enhancement, and Cutting-Edge Computing by Kaiyang Wang, Shuhui Ren, Yunfang Jia, Xiaobing Yan, Lizhen Wang, Yubo Fan

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Evaluating Evidence-Based Ecosystems-Based Adaptation for Food Security Assembly (EBAFOSA) and Nasarawa State University (NSUK) Initiatives: Decarbonization, Clean Cooking Energy P... by Richard Munang

“…Method(s): The research engaged up to 60 households in Nasarawa, Nigeria and evaluated the efficacy of interventions such as the displacement of charcoal with briquettes in cassava processing. Data collection involved assessing energy cost reductions, shifts in energy sources, and economic implications for local actors. …”
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IMAGINEA CHINEI ÎN MASS MEDIA DIN ROMÂNIA by QINGTAO, LIU, YANLI, LU

“…This study examines the portrayal of China in Romanian mainstream media from 2013 to 2023, utilizing big data natural language processing methods for sentiment analysis. …”
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Research and Construction of Knowledge Map of Golden Pomfret Based on LA-CANER Model by Xiaohong Peng, Hongbin Jiang, Jing Chen, Mingxin Liu, Xiao Chen

“…First, by integrating and standardizing multi-source information, the knowledge graph offers comprehensive and accurate data, supporting decision-making for aquaculture management. …”
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Sec-CLOCs: Multimodal Back-End Fusion-Based Object Detection Algorithm in Snowy Scenes by Rui Gong, Xiangsuo Fan, Dengsheng Cai, You Lu

“…First, the quality of image data is enhanced through the Two-stage Knowledge Learning and Multi-contrastive Regularization (TKLMR) image processing algorithm. …”
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Explainable artificial intelligence with temporal convolutional networks for adverse weather condition detection in driverless vehicles by Samah Alzanin

“…Adverse environmental conditions like dust or sandstorms, fog, heavy snow, and rain conditions are unsafe limitations on the function of the cameras by decreasing visibility and influencing driving safety. …”
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Comparison of Different Controller Architectures for Autonomous Driving and Recommendations for Robust and Safe Implementations by M. A. Shadab Siddiqui, M. S. Rabbi, Md Jobayer Islam, Radif Uddin Ahmed

“…Research trends reveal a significant shift toward deep learning approaches (65.6%) compared to rule-based methods (34.4%), reflecting the growing dominance of data-driven techniques in autonomous vehicle research. …”
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Avaliação de UAS de baixo custo e receptor GNSS para representar a paisagem na Amazônia by Ana Luísa Teixeira, Silvia Elena Ventorini, Francisco Davy Braz Rabelo

“…The procedures adopted included planning, field data collection, data processing from the UAS and GNSS receiver, and product development and evaluation. …”
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AI-Enhanced Detection of Heart Murmurs: Advancing Non-Invasive Cardiovascular Diagnostics by Maria-Alexandra Zolya, Elena-Laura Popa, Cosmin Baltag, Dragoș-Vasile Bratu, Simona Coman, Sorin-Aurel Moraru

“…This study presents a novel convolutional recurrent neural network (CRNN) model designed for the non-invasive classification of heart murmurs. The model processes heart sound recordings using advanced pre-processing techniques such as z-score normalization, band-pass filtering, and data augmentation (Gaussian noise, time shift, and pitch shift) to enhance robustness. …”
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Anomaly detection in encrypted network traffic using self-supervised learning by Sadaf Sattar, Shumaila Khan, Muhammad Ismail Khan, Ainur Akhmediyarova, Orken Mamyrbayev, Dinara Kassymova, Dina Oralbekova, Janna Alimkulova

“…In this paper, we describe ET-SSL, a new approach for encrypted data anomaly detection which uses self-supervised contrastive learning to identify informative representations in flow level, statistical features like packet length; inter arrival time; flow duration and protocol metadata to Detect anomalies in encrypted network traffic without the need for labelled datasets or payload analysis. …”
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Dielectric constant prediction in polymers: A chemical structure based approach by S. Sharifi, S. Bonardd, L.A. Miccio

“…The dielectric constant is a fundamental property of materials, which governs their efficiency in various applications like energy storage, microelectronics, and high-voltage insulation. …”
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Numerical treatment for Darcy–Forchheimer flow of propylene glycol with carbon nanotubes under the impacts of MHD and activation energy by Hafiz Muhammad Shahbaz, Iftikhar Ahmad

“…The refinement of each data-set is processed through RNNs-BRO for attestation of the proposed scheme. …”
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Edge computing-based ensemble learning model for health care decision systems by Asir Chandra Shinoo Robert Vincent, Sudhakar Sengan

“…The suggested CDSS uses many different data processing methods, including Adaptive Synthetic (ADASYN) and isolation Forest (iForest), which fix problems like outliers and class imbalance. …”
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An Ottoman map of Sanjak of Herzegovina and Sanjak of Scutari from 1853 by Elma Korić

“…The map analyzed here provides new data on the administrative arrangement of the Bosnian eyalet in the middle of the 19th century, the borders of the mentioned area, the location of deposits of mineral resources, and the like. …”
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Deep learning with leagues championship algorithm based intrusion detection on cybersecurity driven industrial IoT systems by Saud S. Alotaibi, Turki Ali Alghamdi

“…To achieve this, the CLAFS-ODLCD method utilizes the linear scaling normalization (LSN) approach for data pre-processing. Furthermore, the CLAFS-ODLCD method employs the CLAFS approach to choose optimal feature subset. …”
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GA-AGN: A generative adversarial network and attention gated network model for enhanced lung cancer detection using chest CT scans by Shenson Joseph, Herat Joshi, Meetu Malhotra, Shazia Fathima, Madhao Wagh, Kirankumar Kulkarni, Somya Singh, Onkar Mayekar, Mehedi Hassan

“…Then, the data augmentation is performed using the GAN model that is trained by Elk Herd Optimizer (EHO). …”
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OpenCL-Based FPGA Accelerator for 3D FDTD with Periodic and Absorbing Boundary Conditions by Hasitha Muthumala Waidyasooriya, Tsukasa Endo, Masanori Hariyama, Yasuo Ohtera

“…Boundary conditions break the regularity of the data flow, so that the performances are significantly reduced. …”
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IoT-Based Traffic Prediction for Smart Cities by Zhinong Miao, Qilong Liao

“…The methodology involved combining CNNs’ powerful spatial feature extraction capabilities with PSO’s optimization strengths. Traffic data collected from IoT sensors were processed to extract relevant spatial features using CNNs, and PSO was employed to fine-tune the CNN hyperparameters and feature selection. …”
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FINAM is not a model (v1.0): a new Python-based model coupling framework by S. Müller, M. Lange, T. Fischer, S. König, M. Kelbling, J. J. Leal Rojas, S. Thober

“…Although established coupling solutions such as Earth System Modeling Framework (ESMF), Ocean Atmosphere Sea Ice Soil (OASIS), or Yet Another Coupler (YAC) focus on highly parallel workflows, complex data processing, and regridding, FINAM prioritizes usability and flexibility, allowing users to focus on scientific exploration of coupling scenarios rather than technical complexities. …”
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Weighted Echo State Graph Neural Networks Based on Robust and Epitaxial Film Memristors by Zhenqiang Guo, Guojun Duan, Yinxing Zhang, Yong Sun, Weifeng Zhang, Xiaohan Li, Haowan Shi, Pengfei Li, Zhen Zhao, Jikang Xu, Biao Yang, Yousef Faraj, Xiaobing Yan

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