An Approach to Enable Human–3D Object Interaction Through Voice Commands in an Immersive Virtual Environment by Alessio Catalfamo, Antonio Celesti, Maria Fazio, A. F. M. Saifuddin Saif, Yu-Sheng Lin, Edelberto Franco Silva, Massimo Villari

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Joint Optimization of Route and Speed for Methanol Dual-Fuel Powered Ships Based on Improved Genetic Algorithm by Zhao Li, Hao Zhang, Jinfeng Zhang, Bo Wu

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An Intelligent Self-Validated Sensor System Using Neural Network Technologies and Fuzzy Logic Under Operating Implementation Conditions by Serhii Vladov, Victoria Vysotska, Valerii Sokurenko, Oleksandr Muzychuk, Lyubomyr Chyrun

“…This article presents an intelligent self-validated sensor system developed for dynamic objects and based on the intelligent sensor concept, which ensures autonomous data collection and real-time analysis while adapting to changing conditions and compensating for errors. …”
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DMSS: An Attention-Based Deep Learning Model for High-Quality Mass Spectrometry Prediction by Yihui Ren, Yu Wang, Wenkai Han, Yikang Huang, Xiaoyang Hou, Chunming Zhang, Dongbo Bu, Xin Gao, Shiwei Sun

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A Quantum Key Distribution Routing Scheme for a Zero-Trust QKD Network System: A Moving Target Defense Approach by Esraa M. Ghourab, Mohamed Azab, Denis Gračanin

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An XGBoost Approach to Predictive Modelling of Rift Valley Fever Outbreaks in Kenya Using Climatic Factors by Damaris Mulwa, Benedicto Kazuzuru, Gerald Misinzo, Benard Bett

“…Although multiple empirical analyses have shown that machine learning methods outperform time series models in forecasting time series data, there is limited evidence of their application in predicting disease outbreaks in Africa. …”
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Joint Adaptive Resolution Selection and Conditional Early Exiting for Efficient Video Recognition on Edge Devices by Qingli Wang, Chengwu Yu, Shan Chen, Weiwei Fang, Naixue Xiong

“…Deep learning has shown its remarkable performance in video analytics, by applying 2D or 3D Convolutional Neural Networks (CNNs) across multiple video frames. However, high data quantities, intensive computational costs, and various performance requirements restrict the deployment and application of these video-oriented models on resource-constrained edge devices, e.g., Internet-of-Things (IoT) and mobile devices. …”
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Image Visual Quality: Sharpness Evaluation in the Logarithmic Image Processing Framework by Arnaud Pauwelyn, Maxime Carré, Michel Jourlin, Dominique Ginhac, Fabrice Meriaudeau

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A Centrality-Weighted Bidirectional Encoder Representation from Transformers Model for Enhanced Sequence Labeling in Key Phrase Extraction from Scientific Texts by Tsitsi Zengeya, Jean Vincent Fonou Dombeu, Mandlenkosi Gwetu

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Evaluating Deep Learning Architectures for Breast Tumor Classification and Ultrasound Image Detection Using Transfer Learning by Christopher Kormpos, Fotios Zantalis, Stylianos Katsoulis, Grigorios Koulouras

“…The findings of this study provide valuable guidance for selecting the optimal architecture for the final model, facilitating its seamless integration into a web application for deployment. These insights are further anticipated to advance future algorithm development and broaden the potential of the research applicability across diverse fields.…”
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A European database of resources on coastal storm impacts by P. E. Souto-Ceccon, P. E. Souto-Ceccon, J. Montes, E. Duo, E. Duo, P. Ciavola, P. Ciavola, T. Fernández-Montblanc, C. Armaroli

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A consistent ocean oxygen profile dataset with new quality control and bias assessment by V. Gouretski, L. Cheng, J. Du, X. Xing, F. Chai, F. Chai, Z. Tan

“…The procedure is applied to three main instrumentation types: bottle casts, CTD (conductivity–temperature–depth) casts, and Argo profiling floats. Application of the quality control procedure to several manually quality-controlled datasets of good quality suggests the ability of the scheme to successfully identify outliers in the data. …”
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A new high-resolution multi-drought-index dataset for mainland China by Q. Zhang, C. Miao, J. Su, J. Gou, J. Hu, X. Zhao, Y. Xu

“…The dataset features a comprehensive application of high-density meteorological station data and a complete framework starting from basic meteorological elements (the China Hydro-Meteorology dataset, CHM). …”
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SeaConvNeXt: A Lightweight Two-Branch Network Architecture for Efficient Prediction of Specific IHC Proteins and Antigens on Hematoxylin and Eosin (H&E) Images by Yuli Chen, Guoping Chen, Guoying Shi, Yao Zhou, Jiayang Bai, Germán Corredor, Cheng Lu, Xiujuan Lei

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Natural Language Processing-Based Financial Time Series Forecasting: Utilizing Sentiment Analysis for Improved Stock Price Prediction by Albert Ntumba Nkongolo, Yae Olatoundji Gaba, Kafunda Katalay Pierre, Esther Matendo Mabela, Ben Mbuyi Mpumbu

“…Historical stock price data and textual data from financial news articles and social media sources were collected, and TextBlob was used to obtain sentiment indices from the textual data. …”
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A compilation of surface inherent optical properties and phytoplankton pigment concentrations from the Atlantic Meridional Transect by T. M. Jordan, G. Dall'Olmo, G. Tilstone, R. J. W. Brewin, F. Nencioli, R. Airs, C. S. Thomas, L. Schlüter

“…The compilation includes coincident high-performance liquid chromatography (HPLC) phytoplankton pigment concentrations, which are used to calibrate transects of total chlorophyll <span class="inline-formula"><i>a</i></span> (Tot_Chl_a) concentrations derived from the <span class="inline-formula"><i>a</i>_p(<i>λ</i>)</span> line-height method. The IOP data are processed using a consistent methodology and include propagated uncertainties for each IOP variable, uncertainty quantification for the Tot_Chl_a concentrations based on HPLC match-ups, application of consistent quality-control filters, and standardization of output data fields and formats. …”
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A benchmark dataset for global evapotranspiration estimation based on FLUXNET2015 from 2000 to 2022 by W. Li, W. Li, Z. Yao, Z. Yao, Y. Qu, Y. Qu, H. Yang, Y. Song, L. Song, L. Wu, Y. Cui, Y. Cui

“…However, existing <span class="inline-formula">LE_EC</span> datasets, like FLUXNET2015, face significant challenges due to limited observation periods and extensive data gaps, which hinders their application in ET modeling and global change analysis. …”
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Temperature-Driven Reliability Analysis of Power Grid Failures: A Weibull Distribution Approach To Outage Prediction and Mitigation by Simon Ahumah Ocansey, Marwan Bikdash

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Machine Learning Using Approximate Computing by Padmanabhan Balasubramanian, Syed Mohammed Mosayeeb Al Hady Zaheen, Douglas L. Maskell

“…The k-means algorithm partitions data into k clusters, where k also denotes the number of centroids, with each centroid representing the center of a cluster. …”
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A long-term high-resolution air quality reanalysis with a public-facing air quality dashboard over the Contiguous United States (CONUS) by R. Kumar, P. Bhardwaj, P. Bhardwaj, C. He, J. Boehnert, F. Lacey, S. Alessandrini, K. Sampson, M. Casali, S. Swerdlin, O. Wilhelmi, G. G. Pfister, B. Gaubert, H. Worden

“…An ArcGIS air quality dashboard has been developed to enable easy visualization and interpretation of county-level air quality measures and trends by stakeholders, and a Python-based Streamlit application has been developed to allow the download of the air quality data in simplified text and graphic formats.…”
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