A Novel Algorithm for the Decomposition of Non-Stationary Multidimensional and Multivariate Signals by Roberto Cavassi, Antonio Cicone, Enza Pellegrino, Haomin Zhou

“…By breaking down complex signals into simpler oscillatory components, we can enhance the understanding and processing of the data, unveiling hidden information contained in them. …”
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Revolutionizing Health Care: The Transformative Impact of Large Language Models in Medicine by Kuo Zhang, Xiangbin Meng, Xiangyu Yan, Jiaming Ji, Jingqian Liu, Hua Xu, Heng Zhang, Da Liu, Jingjia Wang, Xuliang Wang, Jun Gao, Yuan-geng-shuo Wang, Chunli Shao, Wenyao Wang, Jiarong Li, Ming-Qi Zheng, Yaodong Yang, Yi-Da Tang

“…Breakthroughs, like GPT-4 and BERT (Bidirectional Encoder Representations from Transformer), demonstrate LLMs’ evolution through improved computing power and data. …”
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Practical applications of methods to incorporate patient preferences into medical decision models: a scoping review by Jakub Fusiak, Kousha Sarpari, Inger Ma, Ulrich Mansmann, Verena S. Hoffmann

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HPG-Tree: An Enhanced <italic>B⁺</italic>-Tree for Spatial Indexing by Amal Saif, Alaa M. Altarazi, Amer Al-Badarneh, Mohammad J. Abdel-Rahman

“…Traditional approaches like R-tree can suffer from excessive overlap and fragmentation, while standard <inline-formula> <tex-math notation="LaTeX">$B^{+}$ </tex-math></inline-formula>-trees are limited to one-dimensional data. …”
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Tea Quality: An Overview of the Analytical Methods and Sensory Analyses Used in the Most Recent Studies by Juan Moreira, Jyoti Aryal, Luca Guidry, Achyut Adhikari, Yan Chen, Sujinda Sriwattana, Witoon Prinyawiwatkul

“…Environmental and handling factors during processing, such as fermentation, roasting, and drying are known to play pivotal roles in shaping the unique flavors and aromas of different types of tea, each containing a wide variety of compounds enhancing specific sensory characteristics like umami, astringency, sweetness, and fruity or floral notes, which may correlate with certain groups of chemical compositions. …”
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Synergistic fusion: An integrated pipeline of CLAHE, YOLO models, and advanced super-resolution for enhanced thermal eye detection. by Persiya J, Sasithradevi A

“…However, achieving this accuracy is often hindered by the inherent limitations of thermal data, such as low resolution and poor contrast. This work addresses these challenges by proposing a novel, multifaceted approach that combines both deep learning and image processing techniques. …”
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Artificial Intelligence in Knowledge Management: Overview and Selection of Software for Automotive Reporting by Bernhard Axmann, Sanket Pujar

“…This is particularly valuable in data-intensive industries like automotive, finance, and healthcare. …”
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Availability of assets and livelihood strategies of school dropout teenage mothers in Adaklu District, Ghana by Prisca Ama Anima, Anthony Mwinilanaa Tampah-Naah

“…Some of the teenage mothers indulged in off-farm activities like selling charcoal, gari processing, and deshelling of groundnuts to avoid falling deeper into livelihood insecurities. …”
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A Context-Preserving Tokenization Mismatch Resolution Method for Korean Word Sense Disambiguation Based on the Sejong Corpus and BERT by Hanjo Jeong

“…However, for languages with complex morphological structures, like Korean, the tokenization mismatch between pre-trained models and fine-tuning data prevents the rich contextual and lexical information learned by the pre-trained models from being fully utilized in downstream tasks. …”
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Incorporating echo state network and sand cat swarm optimization algorithm based on quantum for named entity recognition by Fang Huang, Baocheng Wang, Jafar Safarzadeh

“…This aids in activities like information retrieval (for instance, locating pertinent documents), building knowledge graphs (such as connecting entities to establish relationships), and streamlining workflows (like summarizing news or extracting data for databases).…”
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Time-Leveled Hypersoft Matrix, Level Cuts, Operators, and COVID-19 Collective Patient Health State Ranking Model by Shazia Rana, Muhammad Saeed, Badria Almaz Ali Yousif, Florentin Smarandache, Hamiden Abd El-Wahed Khalifa

“…To deal with such higher dimensional information, some modern data processing structures had to be built. Classical matrices (connecting equations and variables through rows and columns) are a limited approach to organizing higher dimensional data, composed of scattered information in numerous forms and vague appearances that differ on time levels. …”
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Golden eagle optimized CONV-LSTM and non-negativity-constrained autoencoder to support spatial and temporal features in cancer drug response prediction by Wesam Ibrahim Hajim, Suhaila Zainudin, Kauthar Mohd Daud, Khattab Alheeti

“…However, prior knowledge, like pathway data, is sometimes discarded as irrelevant since the drug response datasets are multidimensional and noisy. …”
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A Robust Adaptive Signal Decomposition Method for Enhanced Mode Extraction in Financial Time Series by Laiba Sultan Dar, Muhammad Aamir, Muhammad Hamraz, Nosheen Faiz, Walid Emam, Yusra Tashkandy

“…Various existing decomposition techniques were introduced in this scenario, like EMD, EEMD, and CEEMDAN but these techniques in the majority of the cases perform poorly in cases when a time series data exhibits irregular fluctuations and has a trend. …”
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Quantifying ruminal health: A statistical review and application of area and time under the curve in animal science by Luis O. Tedeschi

“…By combining these methods with advancements in data processing, such as machine learning and predictive modeling, the potential for broader applications becomes evident. …”
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Industrial-Grade CNN-Based System for the Discrimination of Music Versus Non-Music in Radio Broadcast Audio by Valerio Cesarini, Vincenzo Addati, Giovanni Costantini

“…We implemented multiple data augmentation strategies, including FM-like pre-processing, trained a custom Convolutional Neural Network, and then built a live inference platform capable of continuously monitoring web radio streams. …”
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A review of the effect of biofertilizers on productivity and aflatoxin production in groundnuts (Arachis hypogaea) by Tariro Munyari, Nancy Nleya, Kudakwashe Chitindingu, Melody Ndemera

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Solely Light‐Induced Integrate‐and‐Fire 1T‐Neuron Operation and Implementation of the McGurk Effect by Jaehee Lee, Jung Wook Lim, Chohyeon Park

“…The increase in global data processing demands cannot be addressed with the limited architecture and processing speeds of existing technologies. …”
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Early Warning Systems for Plant Diseases in delta regions: Machine Learning Approaches by Biswas Debarghya, Sharma Priti

“…Models that need to adapt to rapidly changing environmental conditions and those that rely on real-time data processing become very interesting for Delta regions.…”
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Speech Encryption Algorithm Based on Nonorthogonal Quantum State with Hyperchaotic Keystreams by F. J. Farsana, K. Gopakumar

“…With the advancement in modern computational technologies like cloud computing, there has been tremendous growth in the field of data processing and encryption technologies. …”
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Why IoT Enablement of Agrifood Transportation Disappoints Its Stakeholders: Unravelling Barriers for Enhanced Logistics by Deepika Joshi, Sumit Gupta, Amit Vishwakarma, Sandeep Jagtap

“…They are responsible for creating issues like data processing, vehicle tracking, and data privacy. …”
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