Results 41 to 50 of about 16,074 (215)

A web-based graphical food frequency assessment system: design, development and usability metrics [PDF]

open access: yes, 2017
Background: Food frequency questionnaires (FFQs) are well established in the nutrition field, but there remain important questions around how to develop online tools in a way that can facilitate wider uptake. Also, FFQ user acceptance and evaluation have
Alawadhi, Balqees   +4 more
core   +2 more sources

A Critical Review on the Application and Innovation in Smart Fisheries

open access: yesEngineering Reports, Volume 8, Issue 1, January 2026.
Smart fisheries powered by Artificial Intelligence (AI), Internet of Things (IoT), and machine learning can spot diseases early, monitor water in real time, and identify fish automatically, helping farmers boost yields, cut losses, and protect sustainability in countries like Bangladesh.
Shahim Uddin Saba   +6 more
wiley   +1 more source

Snap-n-Snack: a Food Image Recognition Application [PDF]

open access: yes, 2018
Many people desire to be informed about the nutritional specifics of the food they consume. Current popular dietary tracking methods are too slow and tedious for a lot of consumers due to requiring manual data entry for everything eaten.
Enriquez, Michael   +3 more
core   +1 more source

Usability Evaluation of a Push‐Based Passwordless Authentication Model Using Public‐Key Cryptography

open access: yesIET Biometrics, Volume 2026, Issue 1, 2026.
Despite major advancements in the sphere of the public‐key authentication specifically in the instances of the newly established standards like WebAuthn and the FIDO2, the practical implementation of the passwordless login systems is still hindered by the usability factors, platform‐related requirements, and the very nature of the deployment process is
Ghulam Mustafa   +6 more
wiley   +1 more source

Electric Vehicle with Speed Control Algorithm and Regenerative Braking and the Design of a Mobile Web App based on IoT

open access: yesLatin-American Journal of Computing, 2021
Currently, most electric vehicles for personal mobility do not keep a constant speed and they do not brake automatically when the system requires. Moreover, this braking energy is not used to power the system itself. To overcome these problems, this work
Axel Pulamarin
doaj  

Bronco Books: Textbook E-commerce Platform [PDF]

open access: yes, 2019
College students purchase textbooks for the classes they take every quarter, but current solutions for selling back those textbooks are insufficient, requiring that the student pay to utilize the selling platforms or that the student build rapport within
Joshi, Vineet   +2 more
core   +1 more source

App Móvil para la gestión de servicios técnicos para el hogar [PDF]

open access: yes, 2018
Investigación TecnológicaEl presente documento muestra los resultados de la realización de un estudio de mercado en la localidad de Teusaquillo por parte de los autores, con el objetivo de determinar la oferta y la demanda de servicios técnicos para el ...
Arrieta-Lambraño, Luis David   +1 more
core   +1 more source

SubeYa: A System for Predicting Passenger Demand at Train Stations

open access: yesIET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This study addresses the challenges of urban congestion and long wait times within EL1ML by introducing SubeYa, a web‐based platform designed to predict passenger demand. By utilizing the Prophet predictive model and analysing historical data from 2019 to 2025, the system achieves a global MAE of 259.10.
Angelo Meza   +2 more
wiley   +1 more source

Leveling the playing field for Visually Impaired using Transport Assistant [PDF]

open access: yes, 2016
Visually impaired people face numerous challenges when it comes to transportation. Not only must they circumvent obstacles while navigating, but they also need access to essential information related to available public transport, up-to-date weather ...
Connelly, Kay   +2 more
core   +1 more source

Design Pattern Prediction From Source Code Using LLM–Based Feature Engineering and SVM Classification

open access: yesIET Software, Volume 2026, Issue 1, 2026.
Typical source code (SC) metrics are useful in identifying and predicting the used design patterns in typical Java and Kotlin projects. However, typical SC metrics–based prediction tends to be less accurate. This research presents a novel idea of detecting various design patterns in a code with the help of large language model (LLM)–based features ...
Sirojiddin Komolov   +3 more
wiley   +1 more source

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