Results 11 to 20 of about 110,442 (156)

Personal HealthCare of Things: A novel paradigm and futuristic approach

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract This study provides an investigative approach and offers a complete review of research on Internet of Medical Things (IoMT), describing the progress in general and highlighting the research issues, trends, and future aspects of IoMT. Exploring a research strategy for IoMT systems is vital as the need for IoT in healthcare grows. By aggregating
Surbhi Gupta   +5 more
wiley   +1 more source

CNN based localisation of forged region in object-based forgery for HD videos

open access: yesIET Image Processing, 2020
The location of the smallest object in a scene plays an essential role in the perception of a viewer. Any tampering with it, may evolve in adverse consequences especially with surveillance videos of banks, ATMs, traffic monitoring etc.
Aditi Kohli, Abhinav Gupta, D. Singhal
semanticscholar   +1 more source

Autoencoder with recurrent neural networks for video forgery detection

open access: yes, 2017
Video forgery detection is becoming an important issue in recent years, because modern editing software provide powerful and easy-to-use tools to manipulate videos.
Cozzolino, Davide   +3 more
core   +1 more source

Perceptual Video Hashing for Content Identification and Authentication [PDF]

open access: yes, 2017
Perceptual hashing has been broadly used in the literature to identify similar contents for video copy detection. It has also been adopted to detect malicious manipulations for video authentication.
Bouridane, Ahmed, Khelifi, Fouad
core   +2 more sources

Video matting tampering detection based on time and space domain traces

open access: yesAdvances in Computer Signals and Systems
: Deep learning-based videos usually leave imperceptible traces when tampered with. Tampered videos may be used for malicious video manipulation, which raises privacy and security concerns.
Wenyi Zhu, Yulin Zhao, Yingqian Deng
semanticscholar   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

open access: yesAdvanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari   +4 more
wiley   +1 more source

Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries

open access: yes, 2019
With advanced image journaling tools, one can easily alter the semantic meaning of an image by exploiting certain manipulation techniques such as copy-clone, object splicing, and removal, which mislead the viewers.
Bappy, Jawadul H.   +4 more
core   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat   +4 more
wiley   +1 more source

WSN and RFID integration to support intelligent monitoring in smart buildings using hybrid intelligent decision support systems [PDF]

open access: yes, 2015
The real time monitoring of environment context aware activities is becoming a standard in the service delivery in a wide range of domains (child and elderly care and supervision, logistics, circulation, and other).
Abbod, M, Alshahrany, F, Moualek, I
core   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

open access: yesAI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy