Results 21 to 30 of about 8,008,426 (300)

Multi-Class Skin Lesion Classification Using a Lightweight Dynamic Kernel Deep-Learning-Based Convolutional Neural Network

open access: yesDiagnostics, 2022
Skin is the primary protective layer of the internal organs of the body. Nowadays, due to increasing pollution and multiple other factors, various types of skin diseases are growing globally. With variable shapes and multiple types, the classification of
Theyazn H. H. Aldhyani   +3 more
doaj   +1 more source

Potato Blight Detection Using Fine-Tuned CNN Architecture

open access: yesMathematics, 2023
Potato is one of the major cultivated crops and provides occupations and livelihoods for numerous people across the globe. It also contributes to the economic growth of developing and underdeveloped countries.
Mosleh Hmoud Al-Adhaileh   +3 more
doaj   +1 more source

Prices of conventional and renewable energy as determinants of sustainable and secure energy development: regression model analysis

open access: yesEnergy, Sustainability and Society, 2022
Background The prices of energy resources are important determinants of sustainable energy development, yet associated with significant unknowns. The estimates of the impact of prices of energy products in the domestic market (for domestic consumers) are
Sandi Knez   +4 more
doaj   +1 more source

Distance, Time, Speed & Energy: A Socio-Political Analysis of Technologies of Longer Distance Cycling

open access: yesActive Travel Studies, 2022
The basic laws of motion governing cycling are well understood. Consideration of the variables of energy use in cycle travel is less frequent. The potentials of both aerodynamically efficient cycle design and the augmentation of human power with e-motors
Peter Cox
doaj   +2 more sources

The energy distance for ensemble and scenario reduction [PDF]

open access: yesPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2021
Scenario reduction techniques are widely applied for solving sophisticated dynamic and stochastic programs, especially in energy and power systems, but are also used in probabilistic forecasting, clustering and estimating generative adversarial networks. We propose a new method for ensemble and scenario reduction based on the energy distance which is a
openaire   +4 more sources

Distance spectrum and energy in single valued neutrosophic graphs [PDF]

open access: yesNeutrosophic Sets and Systems
This study introduces the concept of distance matrix and distance energy in the context of single valued neutrosophic graphs (SVNGs), which extend classical graph theory by incorporating uncertainty and indeterminacy through neutrosophic sets.
A. S. Sasipriya, Lakshmi Madireddy
doaj   +1 more source

On Distance Signless Laplacian Spectral Radius and Distance Signless Laplacian Energy

open access: yesMathematics, 2020
In this article, we find sharp lower bounds for the spectral radius of the distance signless Laplacian matrix of a simple undirected connected graph and we apply these results to obtain sharp upper bounds for the distance signless Laplacian energy graph.
Luis Medina, Hans Nina, Macarena Trigo
doaj   +1 more source

New Bounds for Distance Energy of A Graph [PDF]

open access: yesJournal of the Indonesian Mathematical Society, 2020
For any connected graph G, the distance energy, E_D(G) is defined as the sum of the absolute eigenvalues of its distance matrix.  Distance energy was introduced by Indulal et al in the year 2008. It has significant importance in QSPR analysis of molecular descriptor to study  their physico-chemical properties.
Sridhara, G.   +2 more
openaire   +2 more sources

A shorter proof of the distance energy of complete multipartite graphs

open access: yesSpecial Matrices, 2017
Caporossi, Chasser and Furtula in [Les Cahiers du GERAD (2009) G-2009-64] conjectured that the distance energy of a complete multipartite graph of order n with r ≥ 2 parts, each of size at least 2, is equal to 4(n − r).
So Wasin
doaj   +1 more source

Annual Energy Outlook [PDF]

open access: yes, 2009
The Annual Energy Outlook 2009 (AEO2009), prepared by the Energy Information Administration (EIA), presents long-term projections of energy supply, demand, and prices through 2030, based on results from EIA’s National Energy Modeling System (NEMS).
United States. Energy Information Administration.   +1 more
core   +1 more source

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