Enhanced Machine learning algorithms Lightweight Ensemble Classification of Normal versus Leukemic Cel

K Sridhar, AR Yeruva, PN Renjith, A Dixit… - Journal of …, 2022 - pnrjournal.com
Leukemia is type of cancer in blood which impacts the lymphatic framework and the bone
marrow and also impacts white blood cells. Leukemia, in contrast to other types of cancer …

[HTML][HTML] Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment

S Dalal, P Manoharan, UK Lilhore, B Seth… - Journal of Cloud …, 2023 - Springer
There is an increase in cyberattacks directed at the network behind firewalls. An all-inclusive
approach is proposed in this assessment to deal with the problem of identifying new …

An efficient approach for object detection using deep learning

SM Patil, CM Raut, AP Pande, AR Yeruva… - Journal of …, 2022 - pnrjournal.com
Object identification is more significant application in Deep learning innovation which is
recognized by areas of strength for its element learning and component portrayal contrasted …

[HTML][HTML] HIDM: Hybrid Intrusion Detection Model for Industry 4.0 Networks Using an Optimized CNN-LSTM with Transfer Learning

UK Lilhore, P Manoharan, S Simaiya, R Alroobaea… - Sensors, 2023 - mdpi.com
Industrial automation systems are undergoing a revolutionary change with the use of
Internet-connected operating equipment and the adoption of cutting-edge advanced …

SG-PBFS: Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment

SA Murad, ZRM Azmi, AJM Muzahid… - Future Generation …, 2024 - Elsevier
Job scheduling in cloud computing plays a crucial role in optimizing resource utilization and
ensuring efficient job allocation. But cloud resources may be wasted, or service performance …

Optimized LightGBM model for security and privacy issues in cyber‐physical systems

S Dalal, M Poongodi, UK Lilhore… - Transactions on …, 2023 - Wiley Online Library
Integrating physical, computational, and networking resources are the goal of cyber‐
physical systems, also known as smart‐embedded systems. By investing in a solid …

Ai-Assisted Resource Allocation for improved business efficiency and profitability

GS Kumar, KK Ramachandran… - 2023 3rd …, 2023 - ieeexplore.ieee.org
The emergence of smart devices has raised demand for numerous computational
paradigms, including cloud computing, fog computing, and the Internet of Things. But even …

Quantum cryptography in Convolution neural network approach in Smart cities

NJ Mohammed - Journal of Survey in Fisheries Sciences, 2023 - sifisheriessciences.com
Quantum cryptography is a field that has achieved ample of attraction in lately to the
increasing need for secure communication in various applications. Smart cities are one such …

Heart Disease Prediction using Ensemble ML

M Bajaj, P Rawat, C Bhatt, R Chauhan… - … Computing and Data …, 2023 - ieeexplore.ieee.org
Worldwide, heart disease is one of the main causes of mortality. Heart disease early
identification and prevention can significantly enhance patient outcomes and save …

Cryptosystem in artificial neural network in Internet of Medical Things in Unmanned Aerial Vehicle

NJ Mohammed, MMU Hassan - Journal of Survey in …, 2023 - sifisheriessciences.com
Abstract The Internet of Medical Things (IoMT) has revolutionized the healthcare industry by
providing remote patient monitoring and real-time data analysis. Unmanned Aerial Vehicles …