Cargando…

The Recent Development in Chemoresistive-Based Heterostructure Gas Sensor Technology, Their Future Opportunities and Challenges: A Review

Atmospheric pollution has become a critical problem for modern society; therefore, the research in this area continually aims to develop a high-performance gas sensor for health care and environmental safety. Researchers have made a significant contribution in this field by developing highly sensiti...

Descripción completa

Detalles Bibliográficos
Autores principales:	Alam, Mir Waqas, Pooja, Pheiroijam, Aamir, Muhammad, Souayeh, Basma, Mushtaq, Shehla, Khan, Muhammad Shuaib, Amin, Muhammad Nasir, Khan, Kaffayatullah, Shajahan, Shanavas
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228141/ https://www.ncbi.nlm.nih.gov/pubmed/35736262 http://dx.doi.org/10.3390/membranes12060555

Ejemplares similares

Investigation on In Situ Carbon-Coated ZnFe(2)O(4) as Advanced Anode Material for Li-Ion Batteries
por: Alam, Mir Waqas, et al.
Publicado: (2022)

Recent Progress, Challenges, and Trends in Polymer-Based Sensors: A Review
por: Alam, Mir Waqas, et al.
Publicado: (2022)

Nucleotide detection mechanism and comparison based on low-dimensional materials: A review
por: Azeem, M. Mustafa, et al.
Publicado: (2023)

Phyto Synthesis of Manganese-Doped Zinc Nanoparticles Using Carica papaya Leaves: Structural Properties and Its Evaluation for Catalytic, Antibacterial and Antioxidant Activities
por: Alam, Mir Waqas, et al.
Publicado: (2022)

Study to Investigate the Potential of Combined Extract of Leaves and Seeds of Moringa oleifera in Groundwater Purification
por: Alam, Mir Waqas, et al.
Publicado: (2020)

A Comprehensive Review of Types, Properties, Treatment Methods and Application of Plant Fibers in Construction and Building Materials
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Nano-Silica-Modified Concrete: A Bibliographic Analysis and Comprehensive Review of Material Properties
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Steel Fiber-Reinforced Concrete: A Systematic Review of the Research Progress and Knowledge Mapping
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

A Scientometric-Analysis-Based Review of the Research Development on Geopolymers
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

A Systematic Review of the Research Development on the Application of Machine Learning for Concrete
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Extraction of Bioactive Compounds for Antioxidant, Antimicrobial, and Antidiabetic Applications
por: Aldughaylibi, Fatimah Saeed, et al.
Publicado: (2022)

Mapping Research Knowledge on Rice Husk Ash Application in Concrete: A Scientometric Review
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Mechanical Performance of High-Strength Sustainable Concrete under Fire Incorporating Locally Available Volcanic Ash in Central Harrat Rahat, Saudi Arabia
por: Amin, Muhammad Nasir, et al.
Publicado: (2020)

Forecasting Compressive Strength of RHA Based Concrete Using Multi-Expression Programming
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Evaluating the Strength and Impact of Raw Ingredients of Cement Mortar Incorporating Waste Glass Powder Using Machine Learning and SHapley Additive ExPlanations (SHAP) Methods
por: Alkadhim, Hassan Ali, et al.
Publicado: (2022)

Application of Ensemble Machine Learning Methods to Estimate the Compressive Strength of Fiber-Reinforced Nano-Silica Modified Concrete
por: Anjum, Madiha, et al.
Publicado: (2022)

New SHapley Additive ExPlanations (SHAP) Approach to Evaluate the Raw Materials Interactions of Steel-Fiber-Reinforced Concrete
por: Anjum, Madiha, et al.
Publicado: (2022)

Biochar Produced from Saudi Agriculture Waste as a Cement Additive for Improved Mechanical and Durability Properties—SWOT Analysis and Techno-Economic Assessment
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Compressive Strength Estimation of Steel-Fiber-Reinforced Concrete and Raw Material Interactions Using Advanced Algorithms
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Use of Artificial Intelligence for Predicting Parameters of Sustainable Concrete and Raw Ingredient Effects and Interactions
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Predicting the Rheological Properties of Super-Plasticized Concrete Using Modeling Techniques
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Experimental and machine learning approaches to investigate the effect of waste glass powder on the flexural strength of cement mortar
por: Amin, Muhammad Nasir, et al.
Publicado: (2023)

Split Tensile Strength Prediction of Recycled Aggregate-Based Sustainable Concrete Using Artificial Intelligence Methods
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Aging and Curing Temperature Effects on Compressive Strength of Mortar Containing Lime Stone Quarry Dust and Industrial Granite Sludge
por: Amin, Muhammad Nasir, et al.
Publicado: (2017)

Evaluation of Mechanical and Microstructural Properties and Global Warming Potential of Green Concrete with Wheat Straw Ash and Silica Fume
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Comparative Study of Experimental and Modeling of Fly Ash-Based Concrete
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Comparison of Prediction Models Based on Machine Learning for the Compressive Strength Estimation of Recycled Aggregate Concrete
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Assessment of Artificial Intelligence Strategies to Estimate the Strength of Geopolymer Composites and Influence of Input Parameters
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Compressive Strength Estimation of Geopolymer Composites through Novel Computational Approaches
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Evaluating the compressive strength of glass powder-based cement mortar subjected to the acidic environment using testing and modeling approaches
por: Alfaiad, Majdi Ameen, et al.
Publicado: (2023)

Mechanical and microstructural performance of concrete containing high-volume of bagasse ash and silica fume
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Application of Soft-Computing Methods to Evaluate the Compressive Strength of Self-Compacting Concrete
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Prediction of Mechanical Properties of Fly-Ash/Slag-Based Geopolymer Concrete Using Ensemble and Non-Ensemble Machine-Learning Techniques
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Heat Transfer Attributes of Gold–Silver–Blood Hybrid Nanomaterial Flow in an EMHD Peristaltic Channel with Activation Energy
por: Souayeh, Basma, et al.
Publicado: (2022)

In-Depth Analysis of Cement-Based Material Incorporating Metakaolin Using Individual and Ensemble Machine Learning Approaches
por: Bulbul, Abdulrahman Mohamad Radwan, et al.
Publicado: (2022)

Evaluating the effectiveness of waste glass powder for the compressive strength improvement of cement mortar using experimental and machine learning methods
por: Khan, Kaffayatullah, et al.
Publicado: (2023)

Exploring the Use of Waste Marble Powder in Concrete and Predicting Its Strength with Different Advanced Algorithms
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Predictive Modeling of Compression Strength of Waste PET/SCM Blended Cementitious Grout Using Gene Expression Programming
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Ensemble Tree-Based Approach towards Flexural Strength Prediction of FRP Reinforced Concrete Beams
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Data-Driven Techniques for Evaluating the Mechanical Strength and Raw Material Effects of Steel Fiber-Reinforced Concrete
por: Al-Hashem, Mohammed Najeeb, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_9oe6vn5djfoqsougmm6f8anset