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The role of "Israel Our Home" Party in the Israeli Political Life

Dirāsāt iqlīmiyyat (Online), 2011-01, Vol.8 (21), p.121-130

2011

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Evaluating the potential ergonomic hazards associated with posture and musculoskeletal problems among customer service representative

NeuroQuantology, 2023-01, Vol.21 (6), p.1502

2023

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Sludge granulation and efficiency of phase separator in UASB reactor treating combined industrial effluent

Journal of environmental sciences (China), 2007, Vol.19 (5), p.553-558

2007

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Histopathologic Oral Cancer Prediction Using Oral Squamous Cell Carcinoma Biopsy Empowered with Transfer Learning

Sensors (Basel, Switzerland), 2022-05, Vol.22 (10), p.3833

2022

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Causal speech enhancement using dynamical-weighted loss and attention encoder-decoder recurrent neural network

PloS one, 2023-05, Vol.18 (5), p.e0285629-e0285629

2023

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Prediction model for rice husk ash concrete using AI approach: Boosting and bagging algorithms

Structures (Oxford), 2023-04, Vol.50, p.745-757

2023

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Comparative study of biochemical properties, anti-nutritional profile, and antioxidant activity of newly developed rye variants

International journal of food properties, 2022-12, Vol.25 (1), p.608-616

2022

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The impact of insecticides and plant extracts on the suppression of insect vector (Bemisia tabaci) of Mungbean yellow mosaic virus (MYMV)

PloS one, 2021-09, Vol.16 (9), p.e0256449

2021

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Enabling Industry 4.0 through Advances in Mechatronics: Selected Articles from iM3F 2021, Malaysia

2022

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Waste management 2.0 leveraging internet of things for an efficient and eco-friendly smart city solution

PloS one, 2024-07, Vol.19 (7), p.e0307608

2024

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Experimental and machine learning approaches to investigate the effect of waste glass powder on the flexural strength of cement mortar

PloS one, 2023-01, Vol.18 (1), p.e0280761-e0280761

2023

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Effective use of micro-silica extracted from rice husk ash for the production of high-performance and sustainable cement mortar

Construction & building materials, 2020-10, Vol.258, p.119589, Article 119589

2020

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Big Data Analytics for Short and Medium-Term Electricity Load Forecasting Using an AI Techniques Ensembler

Energies (Basel), 2020-10, Vol.13 (19), p.5193

2020

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Photocatalytic Dehydrogenation of Formic Acid on CdS Nanorods through Ni and Co Redox Mediation under Mild Conditions

ChemSusChem, 2018-08, Vol.11 (15), p.2587-2592

2018

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A genome-wide approach to the comprehensive analysis of GASA gene family in Glycine max

Plant molecular biology, 2019-08, Vol.100 (6), p.607-620

2019

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Advances in Intelligent Manufacturing and Mechatronics: Selected Articles from the Innovative Manufacturing, Mechatronics and Materials Forum (iM3F 2022), Pahang, Malaysia

1, 2023

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Malicious Node Detection using Machine Learning and Distributed Data Storage using Blockchain in WSNs

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Prediction of sustainable concrete utilizing rice husk ash (RHA) as supplementary cementitious material (SCM): Optimization and hyper-tuning

Journal of materials research and technology, 2023-07, Vol.25, p.1495-1536

2023

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Bioenergy potential and thermochemical characterization of lignocellulosic biomass residues available in Pakistan

Korean Journal of Chemical Engineering, 2020, 37(11), 248, pp.1899-1906

2020

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Comparative Study of Experimental and Modeling of Fly Ash-Based Concrete

Materials, 2022-05, Vol.15 (11), p.3762

2022

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Prediction Models for Evaluating Resilient Modulus of Stabilized Aggregate Bases in Wet and Dry Alternating Environments: ANN and GEP Approaches

Materials, 2022-06, Vol.15 (13), p.4386

2022

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Prediction of Rapid Chloride Penetration Resistance to Assess the Influence of Affecting Variables on Metakaolin-Based Concrete Using Gene Expression Programming

Materials, 2022-10, Vol.15 (19), p.6959

2022

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Prediction Models for Estimating Compressive Strength of Concrete Made of Manufactured Sand Using Gene Expression Programming Model

Materials, 2022-08, Vol.15 (17), p.5823

2022

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Exploring the Use of Waste Marble Powder in Concrete and Predicting Its Strength with Different Advanced Algorithms

Materials, 2022-06, Vol.15 (12), p.4108

2022

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Evaluating the effectiveness of waste glass powder for the compressive strength improvement of cement mortar using experimental and machine learning methods

Heliyon, 2023-05, Vol.9 (5), p.e16288-e16288, Article e16288

2023

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The role of "Israel Our Home" Party in the Israeli Political Life

Evaluating the potential ergonomic hazards associated with posture and musculoskeletal problems among customer service representative

Sludge granulation and efficiency of phase separator in UASB reactor treating combined industrial effluent

Histopathologic Oral Cancer Prediction Using Oral Squamous Cell Carcinoma Biopsy Empowered with Transfer Learning

Causal speech enhancement using dynamical-weighted loss and attention encoder-decoder recurrent neural network

Prediction model for rice husk ash concrete using AI approach: Boosting and bagging algorithms

Comparative study of biochemical properties, anti-nutritional profile, and antioxidant activity of newly developed rye variants

The impact of insecticides and plant extracts on the suppression of insect vector (Bemisia tabaci) of Mungbean yellow mosaic virus (MYMV)

Enabling Industry 4.0 through Advances in Mechatronics: Selected Articles from iM3F 2021, Malaysia

Waste management 2.0 leveraging internet of things for an efficient and eco-friendly smart city solution

Experimental and machine learning approaches to investigate the effect of waste glass powder on the flexural strength of cement mortar

Effective use of micro-silica extracted from rice husk ash for the production of high-performance and sustainable cement mortar

Big Data Analytics for Short and Medium-Term Electricity Load Forecasting Using an AI Techniques Ensembler

Photocatalytic Dehydrogenation of Formic Acid on CdS Nanorods through Ni and Co Redox Mediation under Mild Conditions

A genome-wide approach to the comprehensive analysis of GASA gene family in Glycine max

Advances in Intelligent Manufacturing and Mechatronics: Selected Articles from the Innovative Manufacturing, Mechatronics and Materials Forum (iM3F 2022), Pahang, Malaysia

Malicious Node Detection using Machine Learning and Distributed Data Storage using Blockchain in WSNs

Prediction of sustainable concrete utilizing rice husk ash (RHA) as supplementary cementitious material (SCM): Optimization and hyper-tuning

Bioenergy potential and thermochemical characterization of lignocellulosic biomass residues available in Pakistan

Comparative Study of Experimental and Modeling of Fly Ash-Based Concrete

Prediction Models for Evaluating Resilient Modulus of Stabilized Aggregate Bases in Wet and Dry Alternating Environments: ANN and GEP Approaches

Prediction of Rapid Chloride Penetration Resistance to Assess the Influence of Affecting Variables on Metakaolin-Based Concrete Using Gene Expression Programming

Prediction Models for Estimating Compressive Strength of Concrete Made of Manufactured Sand Using Gene Expression Programming Model

Exploring the Use of Waste Marble Powder in Concrete and Predicting Its Strength with Different Advanced Algorithms

Evaluating the effectiveness of waste glass powder for the compressive strength improvement of cement mortar using experimental and machine learning methods

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