Ultrasound in the Food Industry: Mechanisms and Applications for Non-Invasive Texture and Quality Analysis by Nama Yaa Akyea Prempeh, Xorlali Nunekpeku, Arul Murugesan, Huanhuan Li

“…Moreover, emerging innovations such as ultrasound-assisted extraction, non-thermal pasteurization, and real-time quality monitoring are highlighted, demonstrating the synergy between ultrasound and advanced technologies like AI-driven data interpretation and portable, handheld sensing devices. …”
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Review of Treatment Techniques for Dredged Sediments in the Context of Valorization as Secondary Raw Materials by Ayodele Afolayan, Robert Černý, Jan Fořt

“…Biological approaches, such as bioremediation and phytoremediation, provide sustainable, low-cost alternatives but require longer timescales. Thermal processes like pyrolysis and vitrification efficiently destroy or stabilize contaminants but involve high energy demands. …”
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PINOY TELLS: THE TYPOLOGY OF ENGLISH LANGUAGE LEARNING STRATEGIES by Joseph Quinto, Manilyn Cacanindin

“…Using a cross-sectional exploratory sequential design, the researchers collected qualitative data from 544 Filipino university students to understand their language learning experiences and preferences, afterward developing the Typology of English Language Learning Strategies (TELLS) questionnaire through a validated thematic analysis consisting of three key components: intellective (acquiring and meaning-making), affective (information processing and acclimating), and productive (technological utilization, filtering, practicing, and validating). …”
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Inhomogeneous Illumination Image Enhancement Under Extremely Low Visibility Condition by Libang Chen, Jinyan Lin, Qihang Bian, Yikun Liu, Jianying Zhou

“…Imaging through dense fog presents unique challenges, with essential visual information crucial for applications like object detection and recognition, thereby hindering conventional image processing methods. …”
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New hybrid features extracted from US images for breast cancer classification by Gigi Tăbăcaru, Simona Moldovanu, Dan Munteanu, Marian Barbu

“…Abstract Artificial intelligence (AI), and image processing fields play a vital role in classifying benign and malignant breast cancer (BC). …”
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SAR Images Despeckling Using Subaperture Decomposition and Non-Local Low-Rank Tensor Approximation by Xinwei An, Hongcheng Zeng, Zhaohong Li, Wei Yang, Wei Xiong, Yamin Wang, Yanfang Liu

“…Synthetic aperture radar (SAR) images suffer from speckle noise due to their imaging mechanism, which deteriorates image interpretability and hinders subsequent tasks like target detection and recognition. Traditional denoising methods fall short of the demands for high-quality SAR image processing, and deep learning approaches trained on synthetic datasets exhibit poor generalization because noise-free real SAR images are unattainable. …”
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Artificial Intelligence-Supported Spatial Scanning for Enhanced Real-Time Spectral Analysis of Heterogeneous Media by Bassem Mortada, Samir Abozyd, Bassam Saadany, Yasser M. Sabry, Diaa Khalil, Tarik Bourouina

“…In spectroscopic analysis, the development of cost-effective handheld infrared spectrometers has revolutionized monitoring practices, particularly in industries like agriculture and food production. Analysis time and efficiency of processing the raw spectral data are further boosted by the implementation of machine learning models for identification and quantification purposes. …”
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Concepts of healthy and environmentally sustainable diets clash with a life in transition – Findings from a qualitative study in urban Burkina Faso by Hannah Fülbert, Souleymane Zoromé, Roch Modeste Millogo, Ina Danquah, Alina Herrmann

“…Background Sub-Saharan African countries like Burkina Faso face a dietary transition and are experiencing a shift in disease burden. …”
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Wildfire Early Warning System Based on a Smart CO₂ Sensors Network by Alessio De Rango, Luca Furnari, Fabio Cortale, Alfonso Senatore, Giuseppe Mendicino

“…This paper proposes a smart CO₂ sensor network-based early warning system, relying on a platform that enables the connection, management, and processing of data from the devices through the cloud. …”
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Interpretable Transformer Neural Network Prediction of Diverse Environmental Time Series Using Weather Forecasts by Enrique Orozco López, David Kaplan, Anna Linhoss

“…Abstract Transformer neural networks (TNNs) have caused a paradigm shift in deep learning domains like natural language processing, gathering immense interest due to their versatility in other fields such as time series forecasting (TSF). …”
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Terahertz Communication: State-of-the-Art and Future Directions by Sanjeev Sharma, Praveen K. Singya, Kuntal Deka, Cedric Adjih, Mohit Sharma

“…Terahertz (THz) communication is a cutting-edge technology poised to address the increasing demand for ultra-high data rates in next-generation wireless networks. …”
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Perbaikan Fraksi Lipid Serum Tikus Putih Hiperkolesterolemi Setelah Pemberian Jus dari Berbagai Olahan Tomat (Hypercholesterolemia Albino Rat Lipid Fraction Improvement After Giv... by Retno Sri Iswari

“…-- @page { margin: 0.79in } P { margin-bottom: 0.08in } --> <p><span style="font-size: x-small;"><em>This research would like to show the effect of tomato juice in a variety processing method towards hypercholesterolemia albino rat blood plasma lipid fraction. …”
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Semantic surprise predicts the N400 brain potential by Alma Lindborg, Lea Musiolek, Dirk Ostwald, Milena Rabovsky

“…A commonly studied electrophysiological measure of on-line meaning related processing is the N400 component, the computational basis of which is still actively debated. …”
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Wearable Solutions: Design, Durability, and Electrical Performance of Snap Connectors and Integrating Them into Textiles Using Interconnects by Prateeti Ugale, Shourya Lingampally, James Dieffenderfer, Minyoung Suh

“…Innovations in textile functionalities and diverse applications have propelled e-textiles’ popularity. However, challenges like connection with external devices for signal processing and reliable interconnections between flexible textiles and rigid electronic circuits persist. …”
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Breaking Away From AI: The Ontological and Ethical Evolution of Machine Learning by Enrico Barbierato, Alice Gatti, Alessandro Incremona, Andrea Pozzi, Daniele Toti

“…Unlike AI&#x2019;s pursuit of general intelligence and symbolic reasoning, ML focuses on data-driven performance optimization, with impactful applications in computer vision, natural language processing (NLP), and autonomous systems. …”
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Advanced computational methods for news classification: A study in neural networks and CNN integrated with GPT by Fahim Sufi

“…Leveraging recent advancements in machine learning and natural language processing (NLP), this study utilizes large language models (LLMs) such as GPT and BERT, known for their exceptional comprehension and generation of human-like text. …”
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Chess Position Evaluation Using Radial Basis Function Neural Networks by Dimitrios Kagkas, Despina Karamichailidou, Alex Alexandridis

“…A Java application was developed for processing the games and extracting certain features from the arising positions in order to construct the dataset, which contained data from over 80,000 positions. …”
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Structural Colors Go Active by Xinting Li, Jiancun Zhao, Junyi Yang, Yihui Huo, Yiting Yu

“…This field promises advancements in high‐density data storage, information encryption, and broader market applications.…”
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Effective DDoS attack detection in software-defined vehicular networks using statistical flow analysis and machine learning. by Himanshi Babbar, Shalli Rani, Maha Driss

“…The ML models, especially complex ones like Random Forest, require substantial processing power, which necessitates efficient data handling and possibly leveraging edge computing resources to reduce latency. …”
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The Relativistic Outflow Driven by the Large-scale Magnetic Field from an Accretion Disk by Wei Xie, Wei-Hua Lei

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