[PDF][PDF] Has the future started? The current growth of artificial intelligence, machine learning, and deep learning

K Aggarwal, MM Mijwil, AH Al-Mistarehi… - Iraqi Journal for …, 2022 - iasj.net
In the modern era, many terms related to artificial intelligence, machine learning, and deep
learning are widely used in domains such as business, healthcare, industries, and military …

[PDF][PDF] Deep learning techniques for COVID-19 detection based on chest X-ray and CT-scan images: a short review and future perspective

MM Mijwil, K Aggarwal, R Doshi, KK Hiran… - Asian J Appl …, 2022 - researchgate.net
Today, humans live in the era of rapid growth in electronic devices that are based on
artificial intelligence, including the significant growth in the manufacture of machines that …

[PDF][PDF] A Lightweight Hybrid Intrusion Detection Framework using Machine Learning for Edge-Based IIoT Security.

A Guezzaz, M Azrour, S Benkirane… - Int. Arab J. Inf …, 2022 - ccis2k.org
Due to the development of cloud computing and Internet of Things (IoT) environments, such
as healthcare systems, telecommunications and Industry 4.0 or Industrial IoT (IIoT) many …

[PDF][PDF] The Significance of Digitalisation and Artificial Intelligence in The Healthcare Sector: A Review

MM Mijwil, AK Faieq, AH Al-Mistarehi - Significance, 2022 - pdfs.semanticscholar.org
Nowadays, artificial intelligence, machine learning, and deep learning are among the most
popular and applied topics in many scientific and life fields that serve humanity. This science …

An efficient improved African vultures optimization algorithm with dimension learning hunting for traveling salesman and large‐scale optimization applications

N Singh, EH Houssein, S Mirjalili, Y Cao… - … Journal of Intelligent …, 2022 - Wiley Online Library
Exploring the finest shortest‐path traveling salesman optimization application is a typical NP‐
hard problem. Similarly the solution of the large‐scale optimization applications is also a big …

[PDF][PDF] The Distinction between R-CNN and Fast RCNN in Image Analysis: A Performance Comparison

MM Mijwil, K Aggarwal, R Doshi… - Asian Journal of …, 2022 - researchgate.net
Deep learning techniques have become vital in many fields in the modern era because they
are excellent at analysing and predicting real big data to act in different situations. Although …

[PDF][PDF] Optimized machine learning algorithm for intrusion detection

RAI Alhayali, M Aljanabi, AH Ali… - Indonesian Journal of …, 2021 - academia.edu
Intrusion detection is mainly achieved by using optimization algorithms. The need for
optimization algorithms for intrusion detection is necessitated by the increasing number of …

AutoML classifier clustering procedure

O Koren, CA Hallin, M Koren… - International Journal of …, 2022 - Wiley Online Library
Recommendation systems are one of the main applications of machine learning (ML) used
across different industries. This paper presents a new automated machine learning …

A novel multicriteria optimization technique for VLSI floorplanning based on hybridized firefly and ant colony systems

B Srinivasan, R Venkatesan, B Aljafari, K Kotecha… - IEEE …, 2023 - ieeexplore.ieee.org
In VLSI circuit design, physical design is one of the main steps in placing the circuit into the
chip area. Floorplanning is a crucial step in the physical design of IC design, which …

Teletraffic analysis of energy-efficient intruder detection using hash function techniques in images for remote monitoring in Wireless Sensor Networks

IY Orea-Flores, ME Rivero-Angeles… - Computers and …, 2022 - Elsevier
Many surveilling applications that use Wireless Sensor Networks (WSNs) are based on
image transmissions to monitor relevant events like intruder detection. However, the …