Results 51 to 60 of about 5,434,218 (296)

Lixdh12/Hand-Gesture-Recognition-Using-Background-Elllimination-and-Convolution-Neural-Network:

, 2021
Hand Gesture Recognition using Convolution Neural Network built using Tensorflow, OpenCV and ...
Sparsha Saha, mohammed-Emad
core   +1 more source

An Intelligent Heuristic Manta-Ray Foraging Optimization and Adaptive Extreme Learning Machine for Hand Gesture Image Recognition

Big Data Mining and Analytics, 2023
The development of hand gesture recognition systems has gained more attention in recent days, due to its support of modern human-computer interfaces. Moreover, sign language recognition is mainly developed for enabling communication between deaf and dumb
Seetharam Khetavath, Navalpur Chinnappan Sendhilkumar, Pandurangan Mukunthan, Selvaganesan Jana, Lakshmanan Malliga, Subburayalu Gopalakrishnan, Sankuru Ravi Chand, Yousef Farhaoui   +7 more
doaj   +1 more source

Artificial molecular machines and motors—Design and control of nanoscale motion

FEBS Letters, EarlyView.
Molecules are constantly moving because of thermal fluctuations, but random motion alone cannot be exploited to perform directional tasks. Artificial molecular machines use chemical, electrical, or light energy to bias this motion. Molecular shuttles, rotary motors, and supramolecular pumps illustrate how nanoscale movement can be controlled and ...
Leonardo Andreoni, Alberto Credi
wiley   +1 more source

The ubiquitin system in normal and infected germinal center B cells

FEBS Letters, EarlyView.
The ubiquitin system plays a central role in germinal center (GC) B cells, influencing differentiation to long‐lived memory B cells. Oncogenic gammaherpesviruses gain access to memory B cells by establishing latency in GC B cells. Mapping ubiquitin mechanisms in normal and infected GC B cells will define specific molecular circuits in B cells germane ...
Destiny Davis, Lesly Mejia, Emily K Moser   +2 more
wiley   +1 more source

Metastatic niche shaped by host factors influences disseminated cancer cell fate

FEBS Letters, EarlyView.
Metastasis is shaped not only by cancer cells but also by the environments they encounter. This review explores how factors such as aging, diet, the microbiome, lifestyle, and environmental exposures remodel organ‐specific niches in the lung, liver, bone, and brain, influencing where metastatic cells survive, remain dormant, or grow, and ultimately ...
Gwennan Delyth Ward, Álvaro Ruiz‐Tabas, Patricia Altea‐Manzano   +2 more
wiley   +1 more source

Hand Gesture & Human-Drone Interaction [PDF]

, 2022
Human computer Interaction is a wide domain which includes different ways of interaction i.e., using hand gestures and body postures. Gestures Detection relate to non-verbal ways to deliver information to the system for control.
Secco, Emanuele Lindo, Buckley, N, Latif, Bilawal   +2 more
core   +1 more source

Face Authenticated Hand Gesture Based Human Computer Interaction for Desktops

Cybernetics and Information Technologies, 2020
Hand gesture detection and recognition is a cutting-edge technology that is getting progressively applicable in several applications, including the recent trends namely Virtual Reality and Augmented Reality. It is a key part of Human-Computer Interaction
Mukthineni Venkat, Mukthineni Rahul, Sharma Onkar, Narayanan Swathi Jamjala   +3 more
doaj   +1 more source

Hand Gesture Recognition Based on Continuous Wave (CW) Radar Using Principal Component Analysis (PCA) and K-Nearest Neighbor (KNN) Methods

JOIV: International Journal on Informatics Visualization, 2022
Human-computer interaction (HCI) is a field of study studying how people and computers interact. One of the most critical branches of HCI is hand gesture recognition, with most research concentrating on a single direction. A slight change in the angle of
Muhammad Khairani Abdul Rahman, Nur Emileen Abdul Rashid, Nor Najwa Ismail, Nor Ayu Zalina Zakaria, Zuhani Ismail Khan, Siti Amalina Enche Ab Rahim, Farah Nadia Mohd Isa   +6 more
doaj   +1 more source

Continuous Hand Gesture Segmentation and Co-articulation Detection [PDF]

, 2006
Gesture segmentation is an extremely difficult task due to both the multitude of possible gesture variations in spatio-temporal space and the co-articulation of successive gestures. In this paper, a robust framework for this problem is proposed which has been used to segment out component gestures from a continuous stream of gestures using finite state
Manas Kamal Bhuyan, D. Ghosh, Prabin Kumar Bora   +2 more
openaire   +2 more sources

Smaller is better: nanobodies meet NMR

FEBS Letters, EarlyView.
Nanobodies are single‐domain antigen‐binding fragments derived from camelid heavy chain antibodies. Their small size, high stability, and exceptional specificity make nanobodies uniquely useful probes for NMR studies of protein dynamics, transient conformational states, and protein–protein interactions.
Oleg Y. Dmitriev
wiley   +1 more source