Convolutional Neural Networks: A Comprehensive Review of Architectures and Application
V Jadeja, ALN Rao, A Srivastava… - … and Informatics (IC3I …, 2023 - ieeexplore.ieee.org
Convolutional Neural Networks have become a popular image and video recognition tool,
achieving state-of-the-art performance in various domains such as object detection, face …
achieving state-of-the-art performance in various domains such as object detection, face …
The Simulation Analysis of Financial Market Risk Based On Machine Learning
MH Azeez, A Porwal, BP Lohani… - 2023 6th International …, 2023 - ieeexplore.ieee.org
The financial sector is essential for advancing the growth of the country's economy, and the
risk it assumes also represents the biggest unintentional risk in the financial market. To …
risk it assumes also represents the biggest unintentional risk in the financial market. To …
Crime Rate Prediction Using Machine Learning
A Sharaff, PK Kushwaha, SP Dwivedi… - … and Informatics (IC3I …, 2023 - ieeexplore.ieee.org
In our culture, crime is a major problem that affects everyone. Many crimes take place every
day. The dataset utilized in this study includes data on each year's date and crime rate. This …
day. The dataset utilized in this study includes data on each year's date and crime rate. This …
Android Malware Detection and its Security
The popularity of mobile apps is growing thanks to advancements in technology. This article
specifically discusses the Android mobile platform and its layered approach to app …
specifically discusses the Android mobile platform and its layered approach to app …
Establishing a Novel CAD-Based Paradigm for Design of VLSI Integrated Circuits
A Agarwal, MM Gour - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
This paper describes growing and enforcing a novel laptop-aided design (CAD) paradigm
for the format of Very-huge-Scale included (VLSI) circuits. This technique integrates the …
for the format of Very-huge-Scale included (VLSI) circuits. This technique integrates the …
[PDF][PDF] Generative Adversarial Networks for Enhanced Learning Experiences
G Geowani, M Conri - 2023 - osf.io
Abstract Semi-Supervised Generative Adversarial Networks (GANs) have emerged as a
promising approach to leverage unlabeled data for enhanced learning in various domains …
promising approach to leverage unlabeled data for enhanced learning in various domains …
[PDF][PDF] Industrial Internet of Thing in Prospective of Multi-Layer V2X Communication Network and Distributed Cell Clustering
C Liu, V Damm - 2023 - osf.io
Industrial Internet of Thing in Prospective of Multi-Layer V2X Communication Network and
Distributed Cell Clustering Abstract Th Page 1 Industrial Internet of Thing in Prospective of …
Distributed Cell Clustering Abstract Th Page 1 Industrial Internet of Thing in Prospective of …
[PDF][PDF] Intelligent Systems Design Using Asynchronous Multimodal Data for Better User Experience
R Thomas, H Shield - 2023 - osf.io
Asynchronous multimodal data in human-computer interactions offers a rich source of
information that can greatly enhance the design and functionality of intelligent systems. This …
information that can greatly enhance the design and functionality of intelligent systems. This …