Results 61 to 70 of about 2,571,172 (193)

Analyzing the Accuracy of Clustering Based Cab Recommender System (CBCRS) Across Varying Densities [PDF]

International Journal of Mathematical, Engineering and Management Sciences
Recommender systems are widely used in today’s world as they narrow down a huge number of options for a user in various fields. These recommender systems can also be significantly used by cab drivers also, since they can recommend the nearest location of
Supreet Kaur Mann, Sonal Chawla
doaj   +1 more source

Towards a multidisciplinary user-centric design framework for context-aware applications [PDF]

, 2003
The primary aim of this article is to review and merge theories of context within linguistics, computer science, and psychology, to propose a multidisciplinary model of context that would facilitate application developers in developing richer ...
Bradley, N.A., Dunlop, M.D.
core   +2 more sources

Deep vision in agriculture: assessing the function of YOLO in the classification of plant leaf diseases (PLDs)

BioData Mining
Plant leaf diseases (PLDs) can continue to be a significant problem in the agricultural sector, leading to significant losses in production and jeopardizing food security.
Chhaya Gupta, Nasib Singh Gill, Preeti Gulia, Sangeeta Duhan, Noha Alduaiji, Piyush Kumar Shukla, Abhishek Dwivedi   +6 more
doaj   +1 more source

Cumulative reports and publications [PDF]

A complete list of Institute for Computer Applications in Science and Engineering (ICASE) reports are listed. Since ICASE reports are intended to be preprints of articles that will appear in journals or conference proceedings, the published reference is ...

core   +1 more source

Dynamic multi-criteria scheduling algorithm for smart home tasks in fog-cloud IoT systems

Scientific Reports
The proliferation of Internet of Things (IoT) devices in smart homes has created a demand for efficient computational task management across complex networks.
Ruchika Bhakhar, Rajender Singh Chhillar
doaj   +1 more source

A Novel ECC-Based Method for Secure Image Encryption

Algorithms
As the Internet of Things (IoT) expands, ensuring secure and efficient image transmission in resource-limited environments has become crucial and important.
Younes Lahraoui, Saiida Lazaar, Youssef Amal, Abderrahmane Nitaj   +3 more
doaj   +1 more source

Noise stability of functions with low influences: invariance and optimality

, 2005
In this paper we study functions with low influences on product probability spaces. The analysis of boolean functions with low influences has become a central problem in discrete Fourier analysis. It is motivated by fundamental questions arising from the
Mossel, Elchanan, O'Donnell, Ryan, Oleszkiewicz, Krzysztof   +2 more
core   +2 more sources

A compartmental model for smoking dynamics in Italy: a pipeline for inference, validation, and forecasting under hypothetical scenarios

BMC Medical Research Methodology
We propose a compartmental model for investigating smoking dynamics in an Italian region (Tuscany). Calibrating the model on local data from 1993 to 2019, we estimate the probabilities of starting and quitting smoking and the probability of smoking ...
Alessio Lachi, Cecilia Viscardi, Giulia Cereda, Giulia Carreras, Michela Baccini   +4 more
doaj   +1 more source

An evaluation of machine learning for soil analysis in internet of things-enabled smart farming

Scientific Reports
Soil plays a foundational role in sustaining agricultural productivity and ecological stability, yet traditional soil analysis methods remain labour-intensive, slow, and often inadequate for real-time decision-making in modern precision agriculture. With
Preety Chaudhary, Preeti Gulia, Nasib Singh Gill, Noha Alduaiji, Piyush Kumar Shukla, Susheela Vishnoi   +5 more
doaj   +1 more source

Comparative Analysis of Predictive Algorithms for Performance Measurement

IEEE Access
Predictive algorithms, also known as mathematical models, utilize historical data to accurately predict future outcomes. These algorithms identify patterns and relationships within the data, resulting in precise predictions.
Swati Gupta, Bal Kishan, Preeti Gulia
doaj   +1 more source