A5079578160- Quantum-Dot Cellular Automata
- Real-time simulation and control systems
- Microbial Applications in Construction Materials
- Extraction and Separation Processes
- Low-power high-performance VLSI design
- Ionic liquids properties and applications
- EEG and Brain-Computer Interfaces
- Geochemistry and Geologic Mapping
- Sleep and Work-Related Fatigue
- Mechanical Engineering and Vibrations Research
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Chaos-based Image/Signal Encryption
- Internet of Things and AI
- Leaf Properties and Growth Measurement
- Smart Agriculture and AI
- Industrial Vision Systems and Defect Detection
- Advanced Steganography and Watermarking Techniques
- Remote Sensing in Agriculture
- Chemical and Physical Properties in Aqueous Solutions
- Innovative concrete reinforcement materials
- Remote-Sensing Image Classification
- Gaze Tracking and Assistive Technology
- Automated Road and Building Extraction
- Concrete and Cement Materials Research
GLA University
2020-2025
Thermoplastic-based polymers are gathering importance in several engineering fields like electrical, electronic, automotive, aerospace, and structural. The additions of secondary phase reinforcements such as natural synthetic fibre improve thermoplastic-based polymer’s properties. thermoplastic combinations found to have low mechanical strength incompatibility need special treatment for synthesizing the fibre. present experimental investigation deals with enhancement polypropylene hybrid...
People store their data on cloud storage very commonly now a day. Security is major issue in storing clouds. Cryptography techniques are useful to impose security data. In this paper hybrid cryptography system proposed provide better the which stored storage. The approach use RSA algorithm and DES of two algorithms more before it cloud. implemented JAVA test sample plain text. will be for IOT applications It verified that working well
<title>Abstract</title> This study introduces the latest methodology for autonomous healing capacity forecasting Engineered Cementitious Composites (ECC) using computational intelligence to enhance durability and sustainability of concrete structures. Base models Adaptive Boosting Algorithm (ADA) Gaussian Process Regression (GPR) are adopted, Seagull Optimizer (SOA) Subtraction-Average-Based (SABO) are introduced enhancement their predictive capability. The voting ensemble technique is...
Driver drowsiness is a significant safety concern, contributing to numerous traffic accidents. To address this issue, researchers have explored electroencephalogram (EEG)-based detection systems. Due the high-dimensional nature of EEG signals and subtle temporal patterns drowsiness, there increasing recognition need for deep neural networks (DNNs) capture dynamics drowsy driving better. Meanwhile, optimizing DNNs architectures remains challenge, as training these models an NP-hard problem....
Satellite imagery has become widely available for detecting patterns by applying different deep learning and machine techniques to it. This paper will cover water monitoring, land tree visualization. The main aim is establish the effectiveness of ML insights provided it promote sound governance, better decision policy making. Python libraries have been used extensively in Earth Observation applications resources such as land-use patterns, crop-yield disaster control, others. Majority data...
Abstract This work presents a novel multitask learning approach featuring dual convolutional neural network (CNN) system for determining the elastic constants of orthotropic rolled steel sheets. In proposed model, resonance frequency spectra from impulse excitation technique are converted into 2D image data. The first CNN focuses on detecting and predicting missing peak intensities, while second utilizes features entire spectrum to predict constants, including E 11 , 22 G 12 . input include...
Aqueous two-phase systems (ATPSs) have long been recognized as versatile and efficient tools for the extraction of biomolecules, including amino acids.
A vending machine is a that distributes goods such as cigarettes, food, and drinks. In general, machines take coins in any sequence inputs provide items when the user enters appropriate amount depository. If entered higher than product amount, change returned. It also has ability to cancel orders. The Implementation of can be made using microprocessor or an field programmable gate array (FPGA), although FPGA-based are more efficient terms speed power usage. Here this paper, we put forward...
In this paper, we have proposed the testing of Graphical User Interface (GUI) applications using idea finite state machines. Results been compares with model generated Simulink's script, represents machine that tested actual GUI. This environment can help in writing efficient test cases to graphical interfaces application under test. For our system, a small GUI for calculator has developed, and then diagram same design used as simulation. The results from Simulink are compared application....
Plants and trees are very important in the world because they ultimate source of food on this planet. As humans gets affected by diseases suffers from health issues similarly plants caught certain insects get destroyed. There many types present plants. To detect these diseases, patterns required to recognize them.Machine Learning algorithms used for identification diseased healthy leaves. The dataset research work is taken Kaggle it contains leaves apple, tomato, strawberry etc. In India,...