Convective heat and mass transfer in inclined parallel plates with fractional model: Dusty hybrid nanofluid by Dolat Khan, Poom Kumam, Kanokwan Sitthithakerngkiet

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Data-Efficient Bone Segmentation Using Feature Pyramid- Based SegFormer by Naohiro Masuda, Keiko Ono, Daisuke Tawara, Yusuke Matsuura, Kentaro Sakabe

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Three-dimensional double negative mechanical metamaterials with tailored anisotropy by Wenkai Liu, Fenglei Li, Yong Liang, Eric Li, Dahua Shou, Bing Li

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A novel deep learning-based spider wasp optimization approach for enhancing brain tumor detection and physical therapy prediction by Suleiman Daoud, Ahmad Nasayreh, Khalid M.O. Nahar, Wlla k. Abedalaziz, Salem M. Alayasreh, Hasan Gharaibeh, Ayah Bashkami, Amer Jaradat, Sultan Jarrar, Hammam Al-Hawamdeh, Absalom E. Ezugwu, Raed Abu Zitar, Aseel Smerat, Vaclav Snasel, Laith Abualigah

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Enhancing needle puncture detection using high-pass filtering and diffuse reflectance by Rachael L’Orsa, Rachael L’Orsa, Rachael L’Orsa, Rachael L’Orsa, Anupam Bisht, Linhui Yu, Kartikeya Murari, Kartikeya Murari, Kartikeya Murari, Garnette R. Sutherland, Garnette R. Sutherland, David T. Westwick, Katherine J. Kuchenbecker

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A Continuous Music Recommendation Method Considering Emotional Change by Se In Baek, Yong Kyu Lee

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Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic Interoperability by Amelie Gyrard, Somayeh Abedian, Philip Gribbon, George Manias, Rick van Nuland, Kurt Zatloukal, Irina Emilia Nicolae, Gabriel Danciu, Septimiu Nechifor, Luis Marti-Bonmati, Pedro Mallol, Stefano Dalmiani, Serge Autexier, Mario Jendrossek, Ioannis Avramidis, Eva Garcia Alvarez, Petr Holub, Ignacio Blanquer, Anna Boden, Rada Hussein

“…Additionally, leveraging large datasets improves training quality for artificial intelligence (AI) models, particularly in cancer prevention, prediction, and treatment personalization. …”
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AI generated annotations for Breast, Brain, Liver, Lungs, and Prostate cancer collections in the National Cancer Institute Imaging Data Commons by Gowtham Krishnan Murugesan, Diana McCrumb, Rahul Soni, Jithendra Kumar, Leonard Nuernberg, Linmin Pei, Ulrike Wagner, Sutton Granger, Andrey Y. Fedorov, Stephen Moore, Jeff Van Oss

“…Abstract The Artificial Intelligence in Medical Imaging (AIMI) initiative aims to enhance the National Cancer Institute’s (NCI) Image Data Commons (IDC) by releasing fully reproducible nnU-Net models, along with AI-assisted segmentation for cancer radiology images. …”
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This Article is Not Just in English by Andrew Burton-Jones, Amano Tatsuya, James Boyce, Patrick Chau, Juan (Jane) Feng, Indira R. Guzman, Sirkka Jarvenpaa, Jingqi (Celeste) li, Morteza Namvar, Balaji Padmanabhan, Jose Pineda, Jean-Loup Richet, Suprateek Sarker, Sujeet Sharma, Doug Vogel, Harry Wang, Victoria Yoon

“…Artificial intelligence (AI) translation tools are becoming very good, very fast, allowing us to foresee a multilingual science. …”
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Microservices-Driven Automation in Full-Stack Development: Bridging Efficiency and Innovation With FSMicroGenerator by Samira Khalfaoui, Hafida Khalfaoui, Abdellah Azmani

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Generative AI in Intrusion Detection Systems for Internet of Things: A Systematic Literature Review by Zhe Deng, Ants Torim, Sadok Ben Yahia, Hayretdin Bahsi

“…The ubiquitous data streaming through the Internet of Things (IoT) creates security risks. Intrusion detection systems (IDS) based on machine learning can support user security. …”
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Applications of Big Data and Blockchain Technology in Food Testing and Their Exploration on Educational Reform by Haohan Ding, Zhenqi Xie, Chao Wang, Wei Yu, Xiaohui Cui, Zhenyu Wang

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Dataset of compression after impact testing on carbon fiber reinforced plastic laminatesMendeley Data by Saki Hasebe, Ryo Higuchi, Tomohiro Yokozeki, Shin-ichi Takeda

“…CAI strength. This dataset is created to seek a way to predict CAI strength using information on damage in CFRP specimens and the experimental condition. …”
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STBS-Stega: Coverless text steganography based on state transition-binary sequence by Ning Wu, Zhongliang Yang, Yi Yang, Lian Li, Poli Shang, Weibo Ma, Zhenru Liu

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Integration of LSTM networks with gradient boosting machines (GBM) for assessing heating and cooling load requirements in building energy efficiency by Reenu Batra, Shakti Arora, Mayank Mohan Sharma, Sonu Rana, Kanishka Raheja, Abeer Saber, Mohd Asif Shah

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Remote Vital Sensing in Clinical Veterinary Medicine: A Comprehensive Review of Recent Advances, Accomplishments, Challenges, and Future Perspectives by Xinyue Zhao, Ryou Tanaka, Ahmed S. Mandour, Kazumi Shimada, Lina Hamabe

“…Additional topics discussed in this review include future developments such as the use of artificial intelligence, combining different sensing methods, and creating monitoring solutions tailored to specific animal species. …”
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Generative AI at the heart of the concerns of the renewable energy sector in Morocco: Development of AI assistants and analysis between vector database and rag using knowledge grap... by Bennani Anas, Ghafir Adil, Tali Abdelhak, El Hajjaji Soukaina

“…The Continuous progress in the field of generative artificial intelligence is now helping to change our behavior. It’s pushing us to think about how best to leverage this technology. …”
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Heritage and Hospitality: A Tourist Loyalty Model in a Historic Hotel of Inna Group Bali by I Gusti Kade Heryadi Angligan, I Nyoman Sunarta, Anak Agung Putu Agung Suryawan Wiranatha, I Made Adikampana

“…The proposed BHALIDEL model shows that combining architectural authenticity with modern service standards creates a competitive advantage. Recommendations include (1) partnering with heritage bodies to institutionalize conservation, (2) training staff in cultural intelligence, (3) curating thematic experiences with digital storytelling, and (4) applying adaptive reuse technologies to maintain heritage aesthetics while improving efficiency.…”
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Prediction of Degradation of Concrete Surface Layer Using Neural Networks Applied to Ultrasound Propagation Signals by Evgenia Kirillova, Alexey Tatarinov, Savva Kovalenko, Genadijs Shahmenko

“…The aim of this article is the development of a new artificial intelligence (AI) system for the condition assessment of concrete structures. …”
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Streamlining Chemistry Learning Process: Applying Lean Methodologies to Minimize Waste in High School Education by Astuti Fatma Hermining, Sholihah Gustania Eka Putri

“…High school education plays a pivotal role in shaping students’ character and nurturing national intelligence. The integration of lean education into the high school learning process aligns closely with the goals of sustainable development. …”
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