Results 61 to 70 of about 959,923 (296)
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Reliable signature authentication is essential across fields where identity verification is critical. Despite advances in machine learning, validating handwritten signatures remains challenging due to inherent variability in individual writing styles ...
Giovanni Piccinini +2 more
doaj +1 more source
An evaluation on offline signature verification using artificial neural network approach
The signature verification is the oldest security technique to verify the identification of persons. Recently, the signature recognition schemes are growing in the world of security technology.
Khalifa, Othman Omran +5 more
core +1 more source
Task‐Oriented Path Planning Towards Autonomous Sensor Network Deployment in Rainforest Canopies
An informative path planner for drone‐based deployment of wireless sensor networks in rainforest canopies is presented, addressing key challenges in large‐scale biodiversity monitoring. By integrating canopy surface detection with connectivity‐aware sampling under strict flight constraints, the approach enables efficient and reliable aerial sensor ...
Rita Santos Raminhos, Salua Hamaza
wiley +1 more source
Offline signature verification using geodesic derivative pattern
In this paper, Geodesic Derivative Pattern (GDP) for Off-line handwritten signature verification is presented. We combine features based on both gray level and geometric information in the decision level.
Hajati, Farshid, Abdoli, Samaneh
core +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
A Federated Learning Approach for Privacy-Preserving Automated Signature Verification
The growing interconnectivity of digital systems has led to the massive collection and centralization of sensitive data, raising serious concerns about confidentiality and compliance with privacy regulations.
Haris Veraros +4 more
doaj +1 more source
ATTENTION-GUIDED JOINT CNN–NEURO-FUZZY LEARNING FOR EXPLAINABLE MULTILINGUAL SIGNATURE VERIFICATION [PDF]
This paper introduces an attention-guided joint CNN–neuro-fuzzy learning framework for offline handwritten signature verification, in which convolutional feature learning and fuzzy membership optimization are performed simultaneously rather than through ...
Sunil Tanaji Salunkhe +1 more
doaj +1 more source
Autonomous field robots equipped with ISFET‐based sensors enable rapid, spatially resolved soil nutrient analysis directly in the field. An automated system based on the BoniRob platform is presented for standardized on‐site extraction and measurement of key macronutrients and soil pH.
Vadim Riedel +3 more
wiley +1 more source
OFFLINE SIGNATURE VERIFICATION BASED ON GLCM
Several papers have recently appeared in the literature which propose pseudo-dynamic features for automatic static handwritten signature verification based on the use of gray level values from signature stroke pixels. Good results have been obtained using rotation invariant uniform local binary patternsLBP plus LBP and statistical measures from gray ...
P. NAGENDRA BABU +2 more
openaire +1 more source

