Academic Articles & Research Papers

Gendered affective representations in AI-assisted music videos: a qualitative multimethod study.

Generative-augmented multimodal neuroaffective decoding for product evaluation: toward neurofeedback-driven human-in-the-loop co-design.

The AI incident disclosure shadow: tracking AI incidents into U.S. securities filings.

TongueBench: performance of prompt-engineered large multimodal models in Traditional Chinese Medicine tongue diagnosis.

Improving farm productivity and profitability through AI diffusion: evidence from Punjab, Pakistan.

Artificial Intelligence-Based Computer Vision Feedback to Improve Clinical Performance in Surgical Technology Education.

A Review of Destructive Methods for Assessing the Bulk Tensile Strength of Glass.

The Temporal Investigation of Multimodal Elements (TIME) Study: protocol for an observational, longitudinal study to characterize the dynamic structure of molecular and digital data in older adults in stable health.

How size-dependent settling can both bias and inform microplastics observations.

A Bayesian Account of the Phantom Lighthouse Illusion.

Perceived Electronic Health Record System Success and Its Associations With Healthcare Quality, Patient Safety, and Operational Efficiency in a Saudi Tertiary Hospital: A Cross-Sectional Survey Study.

Machine learning in keratoconus: severity grading, progression prediction, and surgery outcomes.

Enhanced Esophageal Cancer Detection Using Spectrum-Aided Vision Enhancer: A Comparative Study of White Light Imaging, Narrow-Band Imaging, and Algorithmic Narrow-Band Imaging-Like Imaging.

Enhancing Analysis of Diadochokinetic Speech Using Deep Neural Networks.

OmniVO: Toward Robust Omni Directional Visual Odometry With Multicamera Collaboration for Challenging Conditions

With the recent developments in computer vision, vision-based odometry plays an increasingly important role in the field of autonomous systems. However, using traditional visual odometry or simultaneous localization and mapping (vSLAM) only...

Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead

Currently, Machine Learning (ML) is becoming ubiquitous in everyday life. Deep Learning (DL) is already present in many applications ranging from computer vision for medicine to autonomous driving of modern cars as well as other sectors in ...

Automated detection of bicycle helmets using deep learning

Bicycle helmets are a main measure for injury prevention in case of a crash and are a central variable in transport safety studies. Despite this, helmet use data is only collected sporadically, as the observation of helmet use in traffic by...

Editorial: Emerging sustainable and green technologies for improving agricultural production

A COMPARATIVE STUDY ON REINFORCEMENT LEARNING BASED VISUAL DIALOG SYSTEMS

Recently the conjunction between vision and language has created many intersecting tasks as visual question-answering systems, image captioning, etc. Specifically, dialog systems that depend on a visual scene play an important role in impro...

Deep learning based identification and tracking of railway bogie parts

The Train Rolling-Stock Examination (TRSE) is a safety examination process that physically examines the bogie parts of a moving train, typically at speeds over 30 km/h. Currently, this inspection process is done manually by railway personne...