Results 11 to 20 of about 125,586 (263)

Analysis of classical and machine learning based short-term and mid-term load forecasting for smart grid

open access: yesInternational Journal of Sustainable Energy, 2021
The evolution of advanced metering infrastructure (AMI) has increased the electricity consumption data in real-time manifolds. Using this massive data, the load forecasting methods have undergone numerous transformations.
Sneha Rai, Mala De
doaj   +1 more source

Analysis of Romanian Air Quality using Machine Learning Techniques [PDF]

open access: yesDatabase Systems Journal, 2023
Air quality monitoring has become an increasingly important subject and is one of the most important concerns of governments worldwide. Monitoring is especially important in industrial and urban areas.
Andreea-Mihaela NICULAE
doaj  

An AI-Driven Cybersecurity and e-Governance Framework for Smart Cities Using Ensemble and Deep Learning Models [PDF]

open access: yesITM Web of Conferences
Smart Cities are more digitalized and dependent on interconnecting digital infrastructures and e-Governance platforms that provide efficient public services hence becoming very susceptible to advanced cyber threats.
Vidyasagar G.   +5 more
doaj   +1 more source

Structural cytotoxicity relationship of 2-phenoxy(thiomethyl)pyridotriazolopyrimidines: Quantum chemical calculations and statistical analysis

open access: yesOpen Chemistry, 2020
Previously, a series of pyridotriazolopyrimidines (1–6) were synthesized and fully described. The target compounds (1–6) were evaluated for their cytotoxicity against MCF-7, HepG2, WRL 68, and A549 (breast adenocarcinoma, hepatocellular carcinoma ...
Abuelizz Hatem A.   +4 more
doaj   +1 more source

Indoor Visible Light Positioning Algorithm based on BPNN-MLR

open access: yesGuangtongxin yanjiu, 2022
Aiming at the problems of low positioning accuracy and high computational complexity of the traditional location fingerprint algorithm, this paper proposes a single Light Emitting Diode (LED) indoor positioning algorithm based on Back Propagation Neural ...
Ling QIN   +5 more
doaj   +1 more source

QSAR Studies and Structure Property/Activity Relationships Applied in Pyrazine Derivatives as Antiproliferative Agents Against the BGC823

open access: yesActa Chimica Slovenica, 2021
Electronic structures, the effect of the substitution, structure physicochemical property/activity relationships and drug-likeness applied in pyrazine derivatives, have been studied at ab initio (HF, MP2) and B3LYP/DFT (density functional theory) levels.
Fatima Soualmia   +6 more
doaj   +1 more source

Modelling Slump of Concrete Containing Natural Coarse Aggregate from Bida Environs Using Artificial Neural Network [PDF]

open access: yesJournal of Soft Computing in Civil Engineering, 2021
Consumption of crushed granite as coarse aggregate in concrete has led to devastating environmental and ecological consequences. In order to preserve local and urban ecology therefore, substitute aggregate such as naturally occurring stone with the ...
Abdulazeez Yusuf   +5 more
doaj   +1 more source

QSAR Studies of Toxicity Towards Monocytes with (1,3-benzothiazol-2-yl) amino-9-(10H)-acridinone Derivatives Using Electronic Descriptors

open access: yesOrbital: The Electronic Journal of Chemistry, 2015
DFT-B3LYP method, with the basis set 6-31G (d), was employed to calculate nine quantum chemical descriptors of 16 acridin-9-(10H)-ones substituted with amino or (1,3-benzothiazol-2-yl)-amino groups compounds.
Chtita Samir   +4 more
doaj   +1 more source

Meta-analysis: MLR (Monocyte Lymphocyte Ratio) as the Examination of Choice in Diagnosing Tuberculosis

open access: yes, 2022
: Tuberculosis is an infectious disease caused by the Mycobacterium tuberculosis. Indonesia ranks third in the world as the country with the most tuberculosis cases. Bacteriology is the standard of examination for the diagnosis of tuberculosis.
Dewi Arimas Ni Made, Agus Wahyu Permana
core   +1 more source

Use of Computer-Assisted Methods for the Modeling of the Retention Time of a Variety of Volatile Organic Compounds:  A PCA-MLR-ANN Approach

open access: yes, 2019
A hybrid method consisting of principal component analysis (PCA), multiple linear regressions (MLR), and artificial neural network (ANN) was developed to predict the retention time of 149 C3−C12 volatile organic compounds for a DB-1 stationary phase. PCA
M. Jalali-Heravi (6549203)   +1 more
core   +2 more sources

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