Results 191 to 200 of about 226,174 (315)

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

AI &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, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Autonomous Context-Based Service Optimization in Mobile Cloud Computing [PDF]

, 2017
Piotr Nawrocki, Bartłomiej Śnieżyński   +1 more
openalex   +1 more source

Mobile cloud-computing-based healthcare service by noncontact ECG monitoring. [PDF]

Sensors (Basel), 2013
Fong EM, Chung WY.
europepmc   +1 more source

MANAGEMENT SYSTEM PROTOTYPE FOR INTELLIGENT MOBILE CLOUD COMPUTING FOR BIG DATA

, 2016
Nur Syahela Hussien, Sarina Sulaiman, Siti Mariyam Shamsuddin   +2 more
openalex   +1 more source

Round Robin with Load Degree: An Algorithm for Optimal Cloudlet Discovery in Mobile Cloud Computing

, 2018
Somula Ramasubbareddy, R. Sasikala
openalex   +2 more sources

Inter‐microscope comparability of dental microwear texture data obtained from different optical profilometers: Part II Deriving instrument‐specific correction equations for meta‐analyses using published data

The Anatomical Record, EarlyView.
Abstract Dental microwear texture analysis (DMTA) has emerged as a valuable method for investigating the feeding ecology of vertebrates. Over the past decade, three‐dimensional topographic data from microscopic regions of tooth surfaces have been collected, and surface texture parameters have been published for both extant and fossil species.
Mugino O. Kubo, T. Kubo, Ellen Schulz‐Kornas, T. M. Kaiser, Daniela E. Winkler   +4 more
wiley   +1 more source

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

Archaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban, Rolando Salas López, Angel J. Medina‐Medina, Katerin M. Tuesta‐Trauco, Abner S. Rivera‐Fernandez, Nerci M. Noriega‐Salazar, José A. Sánchez‐Vega, Teodoro B. Silva‐Melendez, Marlen A. Grandez‐Alberca, Jhonsy O. Silva‐López, Nilton B. Rojas‐Briceño, Manuel Oliva‐Cruz, Alexander Cotrina‐Sanchez, Elgar Barboza   +13 more
wiley   +1 more source

A STUDY ON HUMAN ACTIVITY ANALYSIS WITH LARGE SCALE GPS DATA OF MOBILE PHONE USING CLOUD COMPUTING PLATFORM [PDF]

Apichon Witayangkurn
openalex  

Markov-chain Based Lottery Analysis System in Mobile Cloud Computing [PDF]

, 2016
Yi He, Rongxin Fu, Yingqian Zhang, Shuai Wu, Xin Liu, Tian Yuan   +5 more
openalex   +1 more source

Blended and digital approaches in histology and pathology teaching: A scoping review

Anatomical Sciences Education, EarlyView.
Abstract Histology and pathology education is evolving, driven by the integration of digital microscopy with other technological advances. Gaining insight into the impact of this transition, while understanding the perspectives of both students and educators, is important for improving teaching practices. This includes mapping teaching methods, digital
Eleonora Nava, Ashis Jalote‐Parmar, Cecilie Våpenstad, Marit Valla   +3 more
wiley   +1 more source