Enhancing lane detection in autonomous vehicles with multi-armed bandit ensemble learning by J. Arun Pandian, Ramkumar Thirunavukarasu, L. Thanga Mariappan

Subjects: Get full text

Predicting CTCF cell type active binding sites in human genome by Lu Chai, Jie Gao, Zihan Li, Hao Sun, Junjie Liu, Yong Wang, Lirong Zhang

Subjects: Get full text

Sparse attention convolution-ViT model for working condition recognition in zinc flotation by Yue SU, Zhaohui TANG, Yongfang XIE, Xiaoliang GAO, Hu ZHANG, Weiye MA, Haiyang TANG

Subjects: Get full text

Residual Vision Transformer and Adaptive Fusion Autoencoders for Monocular Depth Estimation by Wei-Jong Yang, Chih-Chen Wu, Jar-Ferr Yang

Subjects: Get full text

Editorial: Revolutionizing life sciences: the nobel leap in artificial intelligence-driven biomodeling by Valentina Tozzini, Valentina Tozzini, Cecilia Giulivi, Cecilia Giulivi

Subjects: Get full text

Segmentation of the iliac crest from CT-data for virtual surgical planning of facial reconstruction surgery using deep learning by Stefan Raith, Tobias Pankert, Jônatas de Souza Nascimento, Srikrishna Jaganathan, Florian Peters, Mathias Wien, Frank Hölzle, Ali Modabber

Subjects: “…Convolutional neural networks…”
Get full text

Continuous Speech-Based Fatigue Detection and Transition State Prediction for Air Traffic Controllers by Susmitha Vekkot, Surya Teja Chavali, Charan Tej Kandavalli, Rama Sai Abhishek Podila, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi

Subjects: Get full text

Optimization of Analog Circuit Parameters Using Bidirectional Long Short-Term Memory Coupled with an Enhanced Whale Optimization Algorithm by Hengfei Yang, Shiyuan Yang, Debiao Meng, Chenghao Hu, Chaosheng Wu, Bo Yang, Peng Nie, Yuan Si, Xiaoyan Su

Subjects: “…long short-term memory neural networks…”
Get full text

Coffee Rust Severity Analysis in Agroforestry Systems Using Deep Learning in Peruvian Tropical Ecosystems by Candy Ocaña-Zuñiga, Lenin Quiñones-Huatangari, Elgar Barboza, Naili Cieza Peña, Sherson Herrera Zamora, Jose Manuel Palomino Ojeda

Subjects: Get full text

Multi-Relational Graph Representation Learning for Financial Statement Fraud Detection by Chenxu Wang, Mengqin Wang, Xiaoguang Wang, Luyue Zhang, Yi Long

Subjects: Get full text

Approximate CNN Hardware Accelerators for Resource Constrained Devices by P Thejaswini, Gautham Suresh, V. Chiraag, Sukumar Nandi

Subjects: Get full text

Semantic Tokenization-Based Mamba for Hyperspectral Image Classification by Ri Ming, Na Chen, Jiangtao Peng, Weiwei Sun, Zhijing Ye

Subjects: “…Convolutional neural networks…”
Get full text

Fluorescence Lifetime Endoscopy with a Nanosecond Time-Gated CAPS Camera with IRF-Free Deep Learning Method by Pooria Iranian, Thomas Lapauw, Thomas Van den Dries, Sevada Sahakian, Joris Wuts, Valéry Ann Jacobs, Jef Vandemeulebroucke, Maarten Kuijk, Hans Ingelberts

Subjects: Get full text

Meta analysis of business valuation solutions – are AI based methods better? by Aljaž Herman, Damijan Mumel, Timotej Jagrič

Subjects: Get full text

Bankruptcy forecasting in enterprises and its security using hybrid deep learning models by Akshat Gaurav, Brij B. Gupta, Shavi Bansal, Konstantinos E. Psannis

Subjects: Get full text

EXPLORING AUTOMATED SUMMARIZATION: FROM EXTRACTION TO ABSTRACTION by Svetlana G. Sorokina

Subjects: Get full text

Real-Time Pipeline Leak Detection: A Hybrid Deep Learning Approach Using Acoustic Emission Signals by Faisal Saleem, Zahoor Ahmad, Jong-Myon Kim

Subjects: Get full text

Development of a Deep Learning‐Assisted Mobile Application for the Identification of Nematodes Through Microscopic Images by Naseeb Singh, Ashish Kumar Singh, L. K. Dhruw, Simardeep Kaur, S. Hazarika, K. K. Mishra, V. K. Mishra, Laxmi Kant

Subjects: “…convolutional neural networks…”
Get full text

Introduction to deep learning methods for multi‐species predictions by Yuqing Hu, Sara Si‐Moussi, Wilfried Thuiller

Subjects: Get full text

Advancements in Machine Learning and Deep Learning Techniques for Crop Yield Prediction: A Comprehensive Review by V. Ramesh and P. Kumaresan

Subjects: “…crop yield prediction, machine learning, deep learning, artificial neural networks, optimization algorithms…”
Get full text