A5082458467- Topic Modeling
- Masonry and Concrete Structural Analysis
- Composite Structure Analysis and Optimization
- Hygrothermal properties of building materials
- Network Security and Intrusion Detection
- Natural Language Processing Techniques
- Structural Behavior of Reinforced Concrete
- Structural Analysis and Optimization
- Data Mining Algorithms and Applications
- Internet of Things and AI
- Building materials and conservation
- Advanced Text Analysis Techniques
- Anomaly Detection Techniques and Applications
- Spectroscopy and Chemometric Analyses
- Advanced Malware Detection Techniques
- Smart Agriculture and AI
- Water Quality Monitoring Technologies
- Speech and Audio Processing
- Text and Document Classification Technologies
- Semantic Web and Ontologies
- Advanced Numerical Analysis Techniques
- Innovative concrete reinforcement materials
- Numerical methods in engineering
- Cognitive Computing and Networks
- Video Coding and Compression Technologies
Birla Institute of Technology and Science - Hyderabad Campus
2009-2025
Jawaharlal Nehru Technological University, Hyderabad
2023-2024
Indian Institute of Technology Hyderabad
2022
Wenzhou Medical University
2021
Indian Institute of Science Bangalore
2006-2020
Anna University, Chennai
2013-2019
Bhabha Atomic Research Centre
2011-2015
P.V. Narsimha Rao Telangana Veterinary University
2014
CMR University
2013
Jaypee University of Engineering and Technology
2010
Solar photovoltaic (PV) panels play a crucial role in sustainable energy generation, yet their power output often faces uncertainties due to dynamic weather conditions. In this study, comparative machine learning approach is introduced, utilizing multivariate regression (MR), support vector (SVMR), and Gaussian (GR) techniques for precise solar PV panel prediction. The investigation into the impact of environmental factors—solar radiation, ambient temperature, relative humidity—on reveals...
Abstract The present research aims to predict effluent soluble chemical oxygen demand (SCOD) in anaerobic digestion (AD) process using machine-learning based approach. Anaerobic is a highly sensitive and depends upon several environmental operational factors, such as temperature, flow, load. Therefore, predicting output characteristics modeling important not only for monitoring control, but also reduce the operating cost of treatment plant. It difficult COD real time mode, so it better use...
Abstract The mining industry confronts significant challenges in mitigating airborne particulate matter (PM) pollution, necessitating innovative approaches for effective monitoring and prediction. This research focuses on the design development of an Internet Things (IoT)-based real-time system tailored PM pollutants surface mines, specifically 1.0, 2.5, 4.0, 10.0. novelty this work lies integration IoT technology measurement application machine learning (ML) techniques accurate prediction...
Large numbers of soil-cement block masonry buildings exist in India and many other countries. The paper deals with an experimental study on the influence soil grading characteristics blocks shear-bond strength triplets. Influence clay content strength, absorption durability characteristics, interfacial mortar-block bond has been examined. Some major conclusions are: (1) optimum leading to maximum is range 14–16%; (2) saturated water increases increase block; (3) initial rate decreases (4)...
Soil-cement blocks are used for the load bearing masonry of 2–3-story buildings. Flexural and shear strength such walls greatly depend upon bond between block mortar. This paper deals with methods improving shear-bond soil-cement (without altering mortar characteristics) influence on compressive strength. Altering texture bed faces block, size area frog, certain surface coatings have been attempted to enhance The results indicate that: (1) rough textured face yields higher than plain...
Field vibration tests were carried out at a proposed site for the testing room, and 2D numerical analysis using finite difference tool FLAC 5.0 was performed to suggest effective isolation systems. In analysis, model is first calibrated with respect material properties, damping value, boundary conditions obtain output comparable field test results. The further used perform parametric study by (1) providing vibrating input motions from machines be operated; (2) two depths of cutoff trench;...
The standard codes of practice on the rammed-earth construction are limited. It is essential to ascertain characteristic compressive strength cement-stabilized rammed earth (CSRE) for structural design CSRE walls. test procedures determining not available in practices. specimen size and its slenderness can affect elements. This paper deals with relationships between specimen's aspect ratio using two cement contents (7 10%) densities. Both cylindrical wallette specimens having an varying 2...
Soil-cement blocks are employed for load bearing masonry buildings. This paper deals with the study on influence of bed joint thickness and elastic properties soil-cement blocks, mortar strength behavior block prisms. Influence compressive has been examined through an experimental program. The nature stresses developed their distribution, in prism under compression, analyzed by analysis using FEM. various parameters like thickness, ratio to modulus, Poisson’s considered FEM analysis. Some...
Summary Named entity recognition (NER) is an essential topic in the real world during advanced development of technologies. Hence, this article, develop enhanced conditional random field‐long short‐term memory (ECRF‐LSTM) for NER English language. The proposed ECRF‐LSTM combination and chaotic arithmetic optimization algorithm (CAOA). research concentrated to perform Indian names from given input database digital management processing. Chaotic AOA leads fast convergence helps avoid local...
Unreinforced masonry (URM) structures that are in need of repair and rehabilitation constitute a significant portion building stock worldwide. The successful application fiber-reinforced polymers (FRP) for retrofitting reinforced-concrete (RC) has opened new avenues strengthening URM with FRP materials. present study analyzes the behavior FRP-confined prisms under monotonic axial compression. Masonry comprising burnt clay bricks cement—sand mortar (generally adopted Indian subcontinent)...
The aim of this paper is to develop a prototype that control the railway gate using micro-controller. Whenever train touches base at sensor, caution activated crossing so general population get instruction entryway will be shut. At point module initiates and shuts gates on either side track. Once crosses, naturally lifts gate. For mechanical operation DC adapted engines are utilized. We utilizing an installed controller worked around 8051 family (AT89C52) for control. As per instructions...