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Artificial intelligence

I2I - From illusion to illumination: A neoteric deep learning model for recognizing medical situation actions using depth sensors data

Saima Sultana, Eraj Tanweer, [ ... ], Mazliham Mohd Su’ud

RF-SVR-based prediction methodology for metal tube-bending rebound: Handling non-uniformity and limited sample challenges

Ziluo Fang, Pengfei Zhang, Liangyou Li, Qingzhu Zhang

A curated dataset and lightweight deep learning framework for tea leaf disease classification

Sakibul Hasan Chowdhury, Md Shohel Arman, [ ... ], Parvez Ahmed Moju Fahim

Chrysoprase color grading with machine learning: A systematic approach

Yuansheng Jiang, Ying Guo, [ ... ], Stephen Westland

Marketing analytics in banking 4.0: A two-stage explainable AI framework for high-accuracy and well-calibrated predictions

Fahim Nasir, Abdulghani Ali Ahmed, Iryna Yevseyeva, Mehmet Sabir Kiraz

Deep learning–based region merging with adaptive threshold optimization for building segmentation in remote sensing images

Asim Shoaib, Muhammad Waqas Nadeem, [ ... ], Muhammad Adnan Khan

Design and evaluation of a resilient IBN architecture: Integrating post-quantum cryptography with adaptive threat detection using machine learning

Kumar Sekhar Roy, Shweta Singh, [ ... ], Sk Mahmudul Hassan

PufCB-Auth: A lightweight continuous multi-factor authentication scheme integrated PUF with charging behavior features for EV charging

Chongchao Zhang, Kaichen Zhang, [ ... ], Hongyue Ma

Equity premium forecasting with reliability-screened forward-looking signals

Jeonggyu Huh, Jaegi Jeon, Seungwon Jeong

Predicting the uniaxial compressive strength and elasticity modulus of sandstones from physical and mechanical properties using statistical analyses and artificial intelligence-based techniques

Davood Fereidooni, Matloob Hejazifar

Application of artificial intelligence based on contrast-enhanced CT imaging for predicting peritoneal metastasis in patients with T3/T4 stage gastric cancer

Chao Zhang, Siyuan Li, [ ... ], Xianghua Wu

Development of AI-based dopamine transporter (DAT) image generation technique using early phase [¹⁸F]-FP-CIT PET imaging

Changhwan Sung, Jungsu S. Oh, [ ... ], Jae Seung Kim

Optimising supervised machine learning algorithms predicting cigarette cravings and lapses for a smoking cessation just-in-time adaptive intervention (JITAI)

Corinna Leppin, Jamie Brown, [ ... ], Olga Perski

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