Survey on facial expressions recognition: databases, features and classification schemes
MJAI Dujaili - Multimedia Tools and Applications, 2024 - Springer
The recognition of facial expression in images is one of the motional states in the observing
forms and is one of the most frequent non-verbal routes in which a person transfers his inner …
forms and is one of the most frequent non-verbal routes in which a person transfers his inner …
Impact of similarity measures in K-means clustering method used in movie recommender systems
One of the most challenging tasks in today's era is to deliver personalized information to the
user or group of users according to their preferences. The decision making process is used …
user or group of users according to their preferences. The decision making process is used …
Online signature verification using deep learning based aggregated convolutional feature representation
Handwritten signature for the identification and authentication of an individual has been
widely used in the biometric systems. Due to the intra-class and inter-class variabilities …
widely used in the biometric systems. Due to the intra-class and inter-class variabilities …
Introduction to intelligent techniques and applications
P Jain, S Gupta - Intelligent Computing Techniques in Biomedical …, 2025 - Elsevier
Biomedical imaging is a vital tool in today's medicine that has revolutionized the way
healthcare professionals diagnose and treat a wide range of medical diseases. The history …
healthcare professionals diagnose and treat a wide range of medical diseases. The history …
Extended framework for Sindhi numerals OCR using gradient orientation histograms
The accuracy on MINST dataset for roman numerals is already 99.65%. However, same
models showed low accuracy on Sindhi numerals. It is because Sindhi numerals have high …
models showed low accuracy on Sindhi numerals. It is because Sindhi numerals have high …
A New Improved Approach for Feature Generation and Selection in Multi-Relational Statistical Modelling using ML
Multi-relational classification is highly challengeable task in data mining, because so much
data in our world is organised in multiple relations. The challenge comes from the huge …
data in our world is organised in multiple relations. The challenge comes from the huge …
Deep transferable learning on heartbeat classification for imbalance dataset
Electrocardiogram (ECG) data recorded by medical devices are hard to analyze manually.
Therefore, it is important to analyze and categorize each heartbeat using machine learning …
Therefore, it is important to analyze and categorize each heartbeat using machine learning …
Garment Defect Detection System Based on Histogram Using Deep Learning
The issue in garment manufacturing process produces resource wastage and further affects
the quality of garments products. The automated quality monitoring of garment material is …
the quality of garments products. The automated quality monitoring of garment material is …
A comparative study of facial feature classification methods
M Gonzalez-Ruiz, VH Díaz-Ramírez… - … and Photonics for …, 2024 - spiedigitallibrary.org
A crucial task in facial expression recognition is the classification of facial features in
captured images. This classification task is challenging because facial features change …
captured images. This classification task is challenging because facial features change …
A New Fail-Stop Group Signature over Elliptic Curves Secure against Computationally Unbounded Adversary
If an adversary has unlimited computational power, then signer needs security against
forgery. Fail Stop signature solves it. If the motive of the signature is to hide the identity of the …
forgery. Fail Stop signature solves it. If the motive of the signature is to hide the identity of the …