Advancing EEG-based biometric identification through multi-modal data fusion and deep learning techniques by Touseef Ur Rehman, Madallah Alruwaili, Muhammad Hameed Siddiqi, Yousef Alhwaiti, Sajid Anwar, Zahid Halim, Maaz Alam

“…These findings underscore the transformative potential of EEG-based biometrics within the broader domain of multi-modal data fusion, offering promising applications in healthcare, security, and beyond.…”
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Environmental Monitoring Smart System with Self-Sustaining Wireless Sensor Network Using Data Validation Algorithms by Kanwal T., Altaf S., Javed M. K.

“…Data validation and data reliability are such existing problems in this domain that needed to be addressed. …”
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HyPyRameter: A Python Toolbox to Calculate Spectral Parameters from Hyperspectral Reflectance Data by Michael S. Phillips, Christian Tai Udovicic, Jeffrey E. Moersch, Udit Basu, Christopher W. Hamilton

“…Here, we present the Hyperspectral Parameter (HyPyRameter) toolbox: an open-source library, written in Python, to calculate spectral parameters for hyperspectral reflectance data. With the HyPyRameter toolbox, a user can calculate spectral parameters from point spectra or hyperspectral image cubes. …”
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Structural controls of gold mineralisation in Birrimian structures, Western Mali: insights from magnetic data analysis by Imen Hamdi Nasr, Adama Youssouf Koné, Wajdi Belkhiria, Adnen Amiri, Aboubacar Denon, Souleymane Sangaré, Mohamed Hedi Inoubli, Saïdou Ly

“…This study is devoted to a subsurface structural model based on suitable applications on the reduced to pole aeromagnetic anomaly map of the Kossanto area. …”
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Data-driven discovery of Pt single atom embedded germanosilicate MFI zeolite catalysts for propane dehydrogenation by Qian-Cheng Zhao, Lin Chen, Sicong Ma, Zhi-Pan Liu

“…Our simple catalyst synthesis holds promise for scale-up industrial applications that can now be rooted in first principles via data-driven catalyst design.…”
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An Empirical Study on Data Augmentation for Pixelwise Satellite Image Time-Series Classification and Cross-Year Adaptation by Yuan Yuan, Lei Lin, Qi Xin, Zeng-Guang Zhou, Qingshan Liu

“…Our study offers practical guidance for data augmentation in various SITS classification applications.…”
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Citizen science supporting agricultural monitoring with hundreds of low-cost sensors in comparison to remote sensing data by Chiara Corbari, N. Paciolla, I. Ben Charfi, D. Skokovic, J.A. Sobrino, M. Woods

“…In this study, the fitness for use of the Flower Power low-cost sensors, not designed for scientific applications, is evaluated in an integrated agricultural monitoring context in contrast to freely available satellite information from Landsat 8, Sentinel 1 and 2. …”
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Characterization of the tectonic structures on the Tibetan Plateau using gravity anomaly data and an improved edge detection method by Zhixin Xue, Jian Fang, Dongmei Guo, Panpan Zhang

“…To overcome these limitations, we present an improved method called the hyperbolic tangent function with Gaussian envelope constraints on the horizontal gravity gradient tilt angle (THTAHG) that is based on the tilt angle of the horizontal gravity gradient and the hyperbolic tangent (TANH) function under Gaussian envelope constraints. The applicability of the method is illustrated with three synthetic models and actual gravity data. …”
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Improving Diacritical Arabic Speech Recognition: Transformer-Based Models with Transfer Learning and Hybrid Data Augmentation by Haifa Alaqel, Khalil El Hindi

“…A key challenge in developing DA ASR is the limited availability of training data. This study introduces a transformer-based approach leveraging transfer learning and data augmentation to address these challenges. …”
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Filling the data gap between GRACE and GRACE-FO based on a two-step reconstruction method by Fengmin Hu, Beibei Yang, Zushuai Wei, Changlu Cui, Lingkui Meng

“…The Gravity Recovery and Climate Experiment (GRACE) satellite mission provides large-scale and high-stability terrestrial water storage anomaly (TWSA) data for water resource analysis. However, an 11-month data gap exists between the two generations of gravity satellites, GRACE and GRACE Follow-On (July 2017 to May 2018), posing challenges for TWSA analysis and applications. …”
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Decoding student cognitive abilities: a comparative study of explainable AI algorithms in educational data mining by Tianyue Niu, Ting Liu, Yiming Taclis Luo, Patrick Cheong-Iao Pang, Shuaishuai Huang, Ao Xiang

“…This detailed observation highlights the practical contribution of interpretable AI algorithms in the field of educational data mining, paving the way for more refined applications and deeper insights in future research.…”
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Evaluating Air Pollution in South African Priority Areas: A Qualitative Comparison of Satellite and In-Situ Data by Nasiphi Ngcoliso, Lerato Shikwambana, Zintle Mbulawa, Moleboheng Molefe, Mahlatse Kganyago

“…Validating satellite data is essential to ensure its accuracy, reliability, and practical applicability. …”
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QP-Adaptive Dual-Path Residual Integrated Frequency Transformer for Data-Driven In-Loop Filter in VVC by Cheng-Hsuan Yeh, Chi-Ting Ni, Kuan-Yu Huang, Zheng-Wei Wu, Cheng-Pin Peng, Pei-Yin Chen

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Unveiling insights from unstructured wealth: a comparative analysis of clustering techniques on blockchain cryptocurrency data by Ramzi A. Haraty, Salma Sobeh

“…Clustering, an unsupervised learning technique, aims to identify a specific number of clusters to effectively categorize the data through data grouping. Hence, clustering is related to many fields and is used in various applications that deal with large datasets. …”
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Efficient Privacy-Preserving Range Query With Leakage Suppressed for Encrypted Data in Cloud-Based Internet of Things by Sultan Basudan, Abdulrahman Alamer

“…Data owners are increasingly drawn to outsource their data due to the massive processing capabilities and scalable storage offered by cloud-based Internet of Things (IoT) solutions. …”
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MENGA: A New Comprehensive Tool for the Integration of Neuroimaging Data and the Allen Human Brain Transcriptome Atlas. by Gaia Rizzo, Mattia Veronese, Paul Expert, Federico E Turkheimer, Alessandra Bertoldo

“…This approach is potentially applicable to any imaging modality as long as an efficient procedure of imaging-genomic matching is provided. …”
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ZBP-MM: Zone-based producer mobility management protocol in named data networking for Internet of Things. by Shahzad Rizwan, Aatikah Rasool, Farhan Aadil, Salabat Khan, Zeshan Iqbal, Ghada Atteia

“…However, it is often argued that the existing IP protocol stack is insufficient to support data sharing and storage capabilities for mobile IoT applications. …”
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Fishing operation type recognition based on multi-branch convolutional neural network using trajectory data by Bohui Jiang, Weifeng Zhou

“…Existing methods inadequately exploit spatiotemporal contextual information in vessel trajectories and fail to effectively fuse multimodal data. To address this, this study proposes a novel framework integrating Geohash-based geocoding with embedding techniques inspired by natural language processing to extract spatiotemporal features from trajectory sequences. …”
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Synthetic and real-world datasets for crosswalk segmentation under diverse weather and lighting conditionsMendeley Data by Krešimir Romić, Hrvoje Leventić, Marija Habijan, Irena Galić

“…This dataset addresses the scarcity of publicly available crosswalk segmentation data with environmental diversity and has potential applications in developing and benchmarking computer vision algorithms for assistive navigation systems, investigating synthetic data augmentation efficacy, and advancing pedestrian safety technologies.…”
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New data on the Metarhizium pemphigi pathogenicity against economically and ecologically important insect species in laboratory conditions by Takov Danail, Doychev Danail, Pilarska Daniela, Toshova Teodora, Zúbrik Milan, Barta Marek

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