Particle swarm optimization in biomedical technologies: innovations, challenges, and opportunities

K Suriyan, R Nagarajan - … for Health Literacy and Medical Practice, 2024 - igi-global.com
This chapter explores particle swarm optimization (PSO) in the rapidly evolving landscape of
biomedical technologies. The study begins by introducing the fundamental principles of …

[HTML][HTML] A bibliometric analysis of off-line handwritten document analysis literature (1990–2020)

V Ruiz-Parrado, R Heradio, E Aranda-Escolastico… - Pattern Recognition, 2022 - Elsevier
Providing computers with the ability to process handwriting is both important and
challenging, since many difficulties (eg, different writing styles, alphabets, languages, etc.) …

Exploring AI-driven approaches for unstructured document analysis and future horizons

SV Mahadevkar, S Patil, K Kotecha, LW Soong… - Journal of Big Data, 2024 - Springer
In the current industrial landscape, a significant number of sectors are grappling with the
challenges posed by unstructured data, which incurs financial losses amounting to millions …

Quality-guided key frames selection from video stream based on object detection

M Chen, X Han, H Zhang, G Lin… - Journal of Visual …, 2019 - Elsevier
Object detection technique is widely applied in modern intelligent systems, such as
pedestrian tracking, video surveillance. Key frames selection aims to select more informative …

Crack detection in a beam using wavelet transform and photographic measurements

R Nigam, SK Singh - Structures, 2020 - Elsevier
An optimistic attempt for the detection of a crack in a beam using discrete wavelet transform
is proposed. Finite element model of the simply supported beam with a transverse open …

Recognition of Tamil handwritten character using modified neural network with aid of elephant herding optimization

S Kowsalya, PS Periasamy - Multimedia Tools and Applications, 2019 - Springer
Nowadays, recognition of machine printed or hand printed document is essential part in
applications. Optical character recognition is one of the techniques which are used to …

[HTML][HTML] A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten compound character recognition

MM Khan, MS Uddin, MZ Parvez, L Nahar - Journal of King Saud University …, 2022 - Elsevier
In today's digital era, the recognition of handwritten documents is highly demanding due to
the widespread applications. Bangla is one of the most used languages in the world, which …

Computer-aided intelligent design using deep multi-objective cooperative optimization algorithm

J Hao, S Luo, L Pan - Future Generation Computer Systems, 2021 - Elsevier
Computer-aided product design means using artificial intelligent systems to automatically
design multiple industrial products. This technique has been pervasively applied in multiple …

Bangla handwritten character recognition using MobileNet V1 architecture

T Ghosh, MMHZ Abedin, SM Chowdhury… - Bulletin of Electrical …, 2020 - beei.org
Handwritten character recognition is a very tough task in case of complex shaped alphabet
set like Bangla script. As optical character recognition (OCR) has a huge application in …

Performance analysis of state of the art convolutional neural network architectures in Bangla handwritten character recognition

T Ghosh, MHZ Abedin, H Al Banna, N Mumenin… - Pattern Recognition and …, 2021 - Springer
Bangla handwritten character recognition is a popular research topic as its difficulty is higher
than the recognition of other languages because of multiple formats of compound …