A survey on heterogeneous face recognition: Sketch, infra-red, 3D and low-resolution

S Ouyang, T Hospedales, YZ Song, X Li, CC Loy… - Image and Vision …, 2016 - Elsevier
Heterogeneous face recognition (HFR) refers to matching face imagery across different
domains. It has received much interest from the research community as a result of its …

Deep hybrid model with trained weights for multimodal sarcasm detection

D Bavkar, R Kashyap, V Khairnar - International Conference on …, 2023 - Springer
Sarcasm detection is one the most challenging task in natural language processing. Though
sentiment semantics are necessary to improve sarcasm detection performance, existing DL …

Multimodal sarcasm detection via hybrid classifier with optimistic logic

DM Bavkar, R Kashyap, V Khairnar - Journal of Telecommunications and …, 2022 - jtit.pl
This work aims to provide a novel multimodal sarcasm detection model that includes four
stages: pre-processing, feature extraction, feature level fusion, and classification. The pre …

On the effects of image alterations on face recognition accuracy

M Ferrara, A Franco, D Maltoni - Face recognition across the imaging …, 2016 - Springer
Face recognition in controlled environments is nowadays considered rather reliable, and if
face is acquired in proper conditions, a good accuracy level can be achieved by state-of-the …

Hybrid optimization-enabled deep learning for indoor object detection and distance estimation to assist visually impaired persons

A Nagarajan, MP Gopinath - Advances in Engineering Software, 2023 - Elsevier
Indoor object recognition mainly deals with recognizing indoor objects and in recent years, it
becomes a crucial research topic among investigators. Visually Impaired Persons (VIPs) is a …

Exponential gannet firefly optimization algorithm enabled deep learning for diabetic retinopathy detection

T Prabhakar, TVM Rao, B Maram… - … Signal Processing and …, 2024 - Elsevier
The diabetes complication which causes various damage to the human eye lead to
complete blindness is called diabetic retinopathy. The investigation of the optimization …

Gannet devil optimization-based deep learning for skin lesion segmentation and identification

DV Kumar, KV Dixit - Biomedical Signal Processing and Control, 2024 - Elsevier
Skin lesion identification is a way of identifying abnormal skin tissues from normal skin. The
affected area of the skin are segmented in the skin lesion segmentation process, which …

Facial recognition software use on surgically altered faces: a systematic review

N Gupta, SJ Hughes, R Chirwa… - Journal of Craniofacial …, 2022 - journals.lww.com
Objective: Facial recognition software (FRS) is becoming pervasive in society for commercial
use, security systems, and entertainment. Alteration of the facial appearance with surgery …

ADTBO: Aquila driving training-based optimization with deep learning for skin cancer detection

V Prasad, ES GSR, R MP - The Imaging Science Journal, 2023 - Taylor & Francis
Generally, melanoma skin disease is also a type of cancer, which is complex to determine.
In case, various skin cancer diseases are identified at an early stage, then the death rate is …

[HTML][HTML] Deep Q Network Based on a Fractional Political–Smart Flower Optimization Algorithm for Real-World Object Recognition in Federated Learning

PD Soomro, X Fu, M Aslam, DE Mfungo, A Ali - Applied Sciences, 2023 - mdpi.com
An imperative application of artificial intelligence (AI) techniques is visual object detection,
and the methods of visual object detection available currently need highly equipped …