A5078484420- Metaheuristic Optimization Algorithms Research
- IoT and Edge/Fog Computing
- Evolutionary Algorithms and Applications
- Advanced Multi-Objective Optimization Algorithms
- COVID-19 diagnosis using AI
- Blockchain Technology Applications and Security
- Cloud Computing and Resource Management
- Multi-Criteria Decision Making
- Energy Efficient Wireless Sensor Networks
- Privacy-Preserving Technologies in Data
- Optimization and Mathematical Programming
- Microgrid Control and Optimization
- Network Security and Intrusion Detection
- Fuzzy Systems and Optimization
- Advanced Malware Detection Techniques
- Vehicular Ad Hoc Networks (VANETs)
- Artificial Intelligence in Healthcare
- Face and Expression Recognition
- Traffic Prediction and Management Techniques
- Software-Defined Networks and 5G
- Parallel Computing and Optimization Techniques
- Anomaly Detection Techniques and Applications
- Quantum Computing Algorithms and Architecture
- Stock Market Forecasting Methods
- Distributed and Parallel Computing Systems
Lovely Professional University
2023-2025
Lebanese American University
2021-2024
Chandigarh University
2022-2024
Graphic Era University
2022-2024
Guru Nanak Dev University
2023-2024
Government Medical College
2019-2024
Middle East University
2024
Chitkara University
2023-2024
Yeungnam University
2024
Princess Nourah bint Abdulrahman University
2024
In this paper, we propose PDRAM, a novel energy efficient main memory architecture based on phase change random access (PRAM) and DRAM. The paper explores the challenges involved in incorporating PRAM into hierarchy of computing systems, proposes low overhead hybrid hardware-software solution for managing it. Our experimental results indicate that our is able to achieve average savings 30% at negligible over conventional architectures.
The correct prediction of heart disease can prevent life threats, and incorrect prove to be fatal at the same time. In this paper different machine learning algorithms deep are applied compare results analysis UCI Machine Learning Heart Disease dataset. dataset consists 14 main attributes used for performing analysis. Various promising achieved validated using accuracy confusion matrix. some irrelevant features which handled Isolation Forest, data also normalized getting better results. And...
Internet of Things (IoT) is one the recent innovations in Information Technology, which intends to interconnect physical and digital worlds. It introduces a vision smartness by enabling communication between objects humans through Internet. IoT has diverse applications almost all sectors like Smart Health, Transportation, Cities, etc. In healthcare applications, eases doctors patients as latter can be diagnosed remotely emergency scenarios body sensor networks wearable sensors. However,...
Abstract The emergence of smart cities and sustainable development has become a globally accepted form urbanization. epitome city possible due to the latest innovative integration information communication technology. Citizens can enjoy benefits living environment, ubiquitous connectivity, seamless access services, intelligent decision making through governance, optimized resource management. widespread acceptance raised data security issues, authentication, unauthorized access, device‐level...
In the modern era, cyberbullying (CB) is an intentional and aggressive action of individual or a group against victim via electronic media. The consequence CB increasing alarmingly, affecting either physically psychologically. This allows use automated detection tools, but research on such tools limited due to poor datasets elimination wide features during detection. this paper, integrated model proposed that combines both feature extraction engine classification from input raw text social...
Blood cell count is highly useful in identifying the occurrence of a particular disease or ailment. To successfully measure blood count, sophisticated equipment that makes use invasive methods to acquire slides images utilized. These are subjected various data analyzing techniques and classify different types cells. Nowadays, deep learning-based practice analyze data. less time-consuming require equipment. This paper implements learning (D.L) model uses DenseNet121 white cells (WBC). The...
In the hospital, a limited number of COVID-19 test kits are available due to spike in cases every day. For this reason, rapid alternative diagnostic option should be introduced as an automated detection method prevent spreading among individuals. This article proposes multi-objective optimization and deep-learning methodology for infected coronavirus patients with X-rays. J48 decision tree classifies deep characteristics affected X-ray corona images detect contaminated effectively. Eleven...
As 5G and other technologies are widely used in the Internet of Vehicles, intrusion detection plays an increasingly important role as a vital tool for information security. However, due to rapid changes structure large data flow, complex diverse forms intrusion, traditional methods cannot ensure their accuracy real-time requirements be directly applied Vehicles. A new AA distributed combined deep learning method Vehicles based on Apache Spark framework is proposed response these problems....
The popularization of electronic clinical medical records makes it possible to use automated methods extract high-value information from quickly. As essential information, oncology events are composed attributes that describe malignant tumors. In recent years, medicine event extraction has become a research hotspot in academia. Many academic conferences publish as an evaluation task and provide series high-quality annotation data. This article aims at the characteristics discrete...
In this research article, we uphold the principles of No Free Lunch theorem and employ it as a driving force to introduce an innovative game-based metaheuristic technique named Golf Optimization Algorithm (GOA). The GOA is meticulously structured with two distinctive phases, namely, exploration exploitation, drawing inspiration from strategic dynamics player conduct observed in sport golf. Through comprehensive assessments encompassing fifty-two objective functions four real-world...
Abstract Big Data applications require extensive resources and environments to store, process analyze this colossal collection of data in a distributed manner. Containerization with cloud computing provides pertinent remedy accommodate big requirements, however requires precise appropriate load-balancing mechanism. The load on servers increases exponentially increased resource usage thus making balancing an essential requirement. Moreover, the adjustment containers accurately rapidly...