Comparative Evaluation of Machine Learning Models for Malicious URL Detection

NP Mankar, PE Sakunde, S Zurange… - 2024 MIT Art, Design …, 2024 - ieeexplore.ieee.org
Malicious URLs promoting threats like phishing and malware result in massive financial
losses worldwide. Automated identification of such URLs before users access them is crucial …

Multi-class Investigation of Acute Lymphoblastic Leukemia using Optimized Deep Convolutional Neural Network on Blood Smear Images

M Dangore, SR Ashwini, AG Chendke… - 2024 MIT Art, Design …, 2024 - ieeexplore.ieee.org
Cancer of the bone marrow, often known as Acute Lymphoblastic Leukemia (ALL), is
characterized by the unchecked growth of lymphoid progenitor cells. It affects both children …

Cyber security challenges in social meta-verse and mitigation techniques

A Chaudhari, YK Mali, A Kulkarni, D Jain… - 2024 MIT Art, Design …, 2024 - ieeexplore.ieee.org
Due to the unique architectural framework of the Social meta-verse, there's a potential for
various cyber threats to emerge. The cornerstone of privacy safeguarding within the Meta …

Smart shop** trolley Using Arduino UNO

S Modi, M Modi, V Alone, A Mohite… - 2024 15th …, 2024 - ieeexplore.ieee.org
This paper presents a Smart Trolley with an Automatic Billing System using RFID technology
to enhance the retail shop** experience. The focus is on automating the checkout …

Machine Learning Approach for Human Brain Counselling

JD Palkar, CH Jain, KP Kashinath… - 2024 15th …, 2024 - ieeexplore.ieee.org
An innovative step in treating the mental health issues common to college students is the
PEACE web tool. With the use of cutting-edge machine learning (ML) algorithms, this …

Software-Defined-Storage Performance Testing Using Mininet

DR Naik, VD Ghonge, SM Thube… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Customary capacity the board methods are turning out to be less powerful for dealing with
this huge volume of information because of the improvement of server farms and the …

Comparison of machine learning models for identifying malicious URLs

MD Karajgar, S Sawardekar… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Malicious URLs, posing threats such as phishing and malware, cause significant financial
losses globally. Detecting these URLs automatically before users access them is essential …

Analyzing acute lymphoblastic leukemia across multiple classes using an enhanced deep convolutional neural network on blood smear

J Pawar, AA Bhosle, P Gupta, HM Shiyal… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Bone marrow cancer, commonly referred to as Acute Lymphoblastic Leukemia (ALL), is
marked by the rapid proliferation of immature lymphoid cells. This condition affects both …

Deep Fake Detection for Preventing Audio and Video Frauds Using Advanced Deep Learning Techniques

AO Vaidya, M Dangore, VK Borate… - 2024 IEEE Recent …, 2024 - ieeexplore.ieee.org
Deepfakes allow for the automated gen-eration of fake video content, often accomplished
through the use of generative adversarial networks. To address the increasing issue of …

Upgrading Energy Productivity in Urban City Through Neural Support Vector Machine Learning for Smart Grids

SP Patil, SY Zurange, AA Shinde… - 2024 15th …, 2024 - ieeexplore.ieee.org
Long haul maintainability is progressively significant for shrewd urban communities, and the
energy the executives in savvy urban communities assumes a key part in accomplishing the …