Detecting the Presence of Named Entities in Bengali: Corpus and Experiments by Farzana Rashid, Fahmida Hamid

“…Named Entity Recognition (NER) belongs to the field of Information Extraction (IE) and Natural Language Processing (NLP). NER aims to find and categorize named entities present in the textual data into recognizable classes. …”
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WEAVING WORDS ACROSS WORLDS: THE SOCIO-TECHNICAL DANCE OF MACHINE TRANSLATION IN PRESERVING CULTURAL NUANCES by Hadja BOUFRIOUA

“…Abstract: Neural machine translation (NMT), powered by natural language processing and transformer models, has revolutionized global communication, achieving high accuracy in high-resource languages like English and Arabic. …”
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A novel dual embedding few-shot learning approach for classifying bone loss using orthopantomogram radiographic notes by Pradeep Kumar Yadalam, Amit Rajabhau Pawar, Prabhu Manickam Natarajan, Carlos M. Ardila

“…The proposed DualFit model architecture consists of two main branches: a Text Processing Branch for converting textual data into dense vectors and a Feature Processing Branch for analyzing numerical and categorical data. …”
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OUTSOURCING OF ACCOUNTING SERVICES IN DIGITAL AGE by Adrian ISIP

“…Technologies like robotic process automation and artificial intelligence ensure faster data processing, accurate information and prompt reactions. …”
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IMPLEMENTASI WEBSITE COMPANY PROFILE DAN PERSURATAN SEBAGAI INOVASI TEKNOLOGI DIGITAL DESA KARYA MAKMUR by Fransiskus Panca Juniawan, Muhammad Habib Assobry, Megawati Megawati, Razen Syahputra, Firman Ali, Adinda Nayla, Fihan Carissa, Dwi Yuny Sylfania

“…The goal of this activity is to implement a web-based correspondence sistem and a village information website that can be displayed on smart TVs to improve management efficiency and data transparency. Residents can submit letters online, and village officials can speed up the processing of these correspondences while smart TVs display public information in real-time. …”
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Deep Learning for Traffic Scene Understanding: A Review by Parya Dolatyabi, Jacob Regan, Mahdi Khodayar

“…It underscores the need for improved interpretability, real-time processing, and the integration of multi-modal data. …”
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Fog Service Placement Optimization: A Survey of State-of-the-Art Strategies and Techniques by Hemant Kumar Apat, Veena Goswami, Bibhudatta Sahoo, Rabindra K. Barik, Manob Jyoti Saikia

“…The rapid development of Internet of Things (IoT) devices in various smart city-based applications such as healthcare, traffic management systems, environment sensing systems, and public safety systems produce large volumes of data. To process these data, it requires substantial computing and storage resources for smooth implementation and execution. …”
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RESEARCH REGARDING THE DEGRADATION OF MEAT SEMI – PRODUCTS AND THEIR CHEMICAL COMPOSITION by Orădan Cristian Adrian, Timar Adrian Vasile

“…The present study tries to answer one of the new issues about the raw materials in meat processing. Due to the national and European regulations that lay down the meat raw material definition, some semi-products like Baader (unnerved meat) and MDM (mechanically deboned meat) are no longer accepted as ingredients in meat stuff. …”
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Quantum algorithms for enhanced educational technologies by Basil Hanafi, Mohammad Ali, Devyaani Singh

“…It is in this context that the present paper delves into the role of quantum algorithms in education ecosystems and focuses on their capacity for transforming both learner and institution personalization, resources management, and secure data protection in learning contexts. Modern quantum algorithms like Grover’s Algorithm and Quantum Annealing support various functionalities like rapidity in processing as well as instantaneous flexibility towards customization of learning resources for the students and proper optimization of the learning trail. …”
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A survey on the application and research progress of large language models in financial forecasting by Ruonan Wu, Hong Liu

“…The study reveals that LLMs demonstrate significant advantages in unstructured data processing and cross-market correlation analysis but face challenges related to economic logic interpretability and data non-stationarity. …”
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Climate change and food security: Assessing the prospect for Kuwait using an economy-wide model by Ayele Gelan, Giles Atkinson

“…This favours the food-processing sector since low world market price means food-processing industries will get cheap imports for further processing. …”
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Accelerating Spark-Based Applications with MPI and OpenACC by Saeed Alshahrani, Waleed Al Shehri, Jameel Almalki, Ahmed M. Alghamdi, Abdullah M. Alammari

“…Correspondingly, big data technologies, such as Hadoop and Spark, have emerged to tackle the challenges of collecting, processing, and storing such large-scale data. …”
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A 3D Surface Reconstruction Pipeline for Plant Phenotyping by Lina Stausberg, Berit Jost, Lasse Klingbeil, Heiner Kuhlmann

“…In this study, we will not focus on the segmentation aspect but rather on the other pre-processing steps, like denoising parameters, which depend on the data type. …”
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Enhanced bearing health indicator extraction using slope adaptive signal decomposition for predictive maintenance by Dev Bhanushali, Pooja Kamat, Harsh Dhiman

“…This method bridges the gap between signal processing and data-driven prognostics, enabling robust bearing health monitoring under varying operational conditions. …”
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Advanced Applications of Artificial Intelligence in Pharmacovigilance: Current Trends and Future Perspectives by Yogesh S Ahire, Jayesh H Patil, Harshita N Chordiya, Rashmi A Deore, Vinod A Bairagi

“…They are adept at applying sophisticated algorithms, machine learning models, and natural language processing to glean insights from unstructured data sources like clinical notes, patient narratives, and regulatory reports. …”
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Exploration of the Efficiency of SLM-Enabled Platforms for Everyday Tasks by Volodymyr Rusinov, Nikita Basenko

“…This study explores the potential of Small Language Models (SLMs) as an efficient and secure alternative to larger models like GPT-4 for various natural language processing (NLP) tasks. …”
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AI-Powered Platforms for Interactive Nutrition Education Based on WHO (World Health Organization) Guidelines – An Overview by Taiwo Folake Ojo, Oluwaseyi Abiodun Akpor, Yetunde Justinah Talabi, Adeniran Sunday Afolalu

“…It explores how AI improves engagement through gamification and virtual coaching, makes tailored dietary suggestions based on individual needs and tastes, and offers data-driven feedback for tracking success. The study looks at how well these platforms match WHO nutritional guidelines and considers the advantages—like higher engagement and better memory retention—as well as the drawbacks—like data privacy, algorithmic bias, and unequal access. …”
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Eye Movement Tracking Using Opencv Python by mohammed satar, Basim Alshammari, Hayder Jasim

“…Pay attention to how hardware, like a computer, can only use a certain amount of resources (processing power). …”
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What is the Role of Medical Informatics in Digital Healthcare? by Mihai TĂRÂŢĂ

“…Our expertise spans key areas of Medical Informatics, including: • Biological Signal Processing – Collecting and analyzing physiological data…”
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Architecture of an automated program complex based on a multiple kernel svm classifier for analyzing malicious executable files by Алан Нафієв, Андрій Родіонов

“…Furthermore, the system's scalability allows for efficient processing of large data volumes, making it suitable for real-world applications. …”
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