A systematic literature review on binary neural networks
R Sayed, H Azmi, H Shawkey, AH Khalil… - IEEE Access, 2023 - ieeexplore.ieee.org
This paper presents an extensive literature review on Binary Neural Network (BNN). BNN
utilizes binary weights and activation function parameters to substitute the full-precision …
utilizes binary weights and activation function parameters to substitute the full-precision …
Multi-modal remote perception learning for object sensory data
NA Almujally, AA Rafique, N Al Mudawi… - Frontiers in …, 2024 - frontiersin.org
Introduction When it comes to interpreting visual input, intelligent systems make use of
contextual scene learning, which significantly improves both resilience and context …
contextual scene learning, which significantly improves both resilience and context …
Recent advancements in indoor electronic travel aids for the blind or visually impaired: a comprehensive review of technologies and implementations
IJ Kim - Universal Access in the Information Society, 2024 - Springer
The human sense of vision is a critical tool for interaction and exploration in the physical
world. However, this valuable faculty can be impaired by a range of causes, such as …
world. However, this valuable faculty can be impaired by a range of causes, such as …
Enhancing object detection for vips using yolov4_resnet101 and text-to-speech conversion model
Vision impairment affects an individual's quality of life, posing challenges for visually
impaired people (VIPs) in various aspects such as object recognition and daily tasks …
impaired people (VIPs) in various aspects such as object recognition and daily tasks …
[HTML][HTML] DeepNAVI: A deep learning based smartphone navigation assistant for people with visual impairments
Navigation assistance is an active research area, where one aim is to foster independent
living for people with vision impairments. Despite the fact that many navigation assistants …
living for people with vision impairments. Despite the fact that many navigation assistants …
A novel finetuned YOLOv6 transfer learning model for real-time object detection
Object detection and object recognition are the most important applications of computer
vision. To pursue the task of object detection efficiently, a model with higher detection …
vision. To pursue the task of object detection efficiently, a model with higher detection …
Hybrid optimization-enabled deep learning for indoor object detection and distance estimation to assist visually impaired persons
A Nagarajan, MP Gopinath - Advances in Engineering Software, 2023 - Elsevier
Indoor object recognition mainly deals with recognizing indoor objects and in recent years, it
becomes a crucial research topic among investigators. Visually Impaired Persons (VIPs) is a …
becomes a crucial research topic among investigators. Visually Impaired Persons (VIPs) is a …
Evolution of deep learning-based sequential recommender systems: from current trends to new perspectives
The recommender system which gets higher in practical use in applying the Apriori
algorithm in the early 2000s has revolutionized our daily life as it currently is widely used by …
algorithm in the early 2000s has revolutionized our daily life as it currently is widely used by …
A qualitative and quantitative analysis of research in mobility technologies for visually impaired people
Assistive technology in rehabilitation programs is vital for people with vision impairments
worldwide. The term “blind assistive technology” refers to mobility devices specifically …
worldwide. The term “blind assistive technology” refers to mobility devices specifically …
CNN‐Based Automatic Helmet Violation Detection of Motorcyclists for an Intelligent Transportation System
An intelligent transportation system (ITS) is an advanced application that supports multiple
transport and traffic management modes. ITS services include calling for emergency rescue …
transport and traffic management modes. ITS services include calling for emergency rescue …