Human body pose estimation for gait identification: A comprehensive survey of datasets and models
Person identification is a problem that has received substantial attention, particularly in
security domains. Gait recognition is one of the most convenient approaches enabling …
security domains. Gait recognition is one of the most convenient approaches enabling …
[HTML][HTML] Bag of features (BoF) based deep learning framework for bleached corals detection
Coral reefs are the sub-aqueous calcium carbonate structures collected by the invertebrates
known as corals. The charm and beauty of coral reefs attract tourists, and they play a vital …
known as corals. The charm and beauty of coral reefs attract tourists, and they play a vital …
Tourism demand forecasting based on user-generated images on OTA platforms
S Ma, H Li, M Hu, H Yang, R Gan - Current Issues in Tourism, 2024 - Taylor & Francis
Tourists' images of destinations posted on online travel agency (OTA) platforms are
important information sources for potential tourists to perceive and construct destination …
important information sources for potential tourists to perceive and construct destination …
Toward trustworthy human suspicious activity detection from surveillance videos using deep learning
In today's world, suspicious or unusual activities express threats and danger to others. For
the prevention of various security issues, an automatic video detection system is very …
the prevention of various security issues, an automatic video detection system is very …
Non-local attention improves description generation for retinal images
Automatically generating medical reports from retinal images is a difficult task in which an
algorithm must generate semantically coherent descriptions for a given retinal image …
algorithm must generate semantically coherent descriptions for a given retinal image …
Plant diseases classification based leaves image using convolutional neural network
SB Imanulloh, AR Muslikh… - Journal of Computing …, 2023 - eprints.unmer.ac.id
Plant disease is one of the problems in the world of agriculture. Early identification of plant
diseases can reduce the risk of loss, so automation is needed to speed up identification …
diseases can reduce the risk of loss, so automation is needed to speed up identification …
An Intelligent System-Based Coffee Plant Leaf Disease Recognition Using Deep Learning Techniques on Rwandan Arabica Dataset
E Hitimana, OJ Sinayobye, JC Ufitinema… - Technologies, 2023 - mdpi.com
Rwandan coffee holds significant importance and immense value within the realm of
agriculture, serving as a vital and valuable commodity. Additionally, coffee plays a pivotal …
agriculture, serving as a vital and valuable commodity. Additionally, coffee plays a pivotal …
Avocado fruit disease detection and classification using modified SCA–PSO algorithm-based MobileNetV2 convolutional neural network
Classification of diseases in fruits is a comparatively multifaceted problem due to varieties,
which include irregular shapes, colors, and textures. Deep learning plays a vital role in the …
which include irregular shapes, colors, and textures. Deep learning plays a vital role in the …
Markerless gait estimation and tracking for postural assessment
Postural assessment is crucial in the sports screening system to reduce the risk of severe
injury. The capture of the athlete's posture using computer vision attracts huge attention in …
injury. The capture of the athlete's posture using computer vision attracts huge attention in …
Workoutnet: A deep learning model for the recognition of workout actions from still images
Workouts or Exercises are some repetitive physical activities essential for maintaining good
health. Workouts make us relax and happy, give us more energy, lower the risk of chronic …
health. Workouts make us relax and happy, give us more energy, lower the risk of chronic …