USING RESNET18 IN A DEEP-LEARNING FRAMEWORK AND ASSESSING THE EFFECTS OF ADAPTIVE LEARNING RATES IN THE IDENTIFICATION OF MALIGNANT BREAST MASSES IN MAMMOGRAMS

(Received: 12-Nov.-2023, Revised: 8-Jan.-2024 , Accepted: 25-Jan.-2024)

Soumia Benbakreti,Samir Benbakreti,Kadda Benyahia,Mohamed Benouis

#Malignant breast cancer #Lesion classification #Transfer learning #Residual network (ResNet18) #Adaptive learning rate

Abstract

CDRSHNET: VARIANCE-GUIDED MULTISCALE AND SELF-ATTENTION FUSION WITH HYBRID LOSS FUNCTION TO RESTORE TRAFFIC-SIGN IMAGES CAPTURED IN ADVERSE CONDITIONS

(Received: 10-Nov.-2023, Revised: 2-Jan.-2024 and 23-Jan.-2024 , Accepted: 25-Jan.-2024)

Milind Vijay Parse,Dhanya Pramod

#Image restoration #Challenging weather conditions #Variance-guided multiscale attention #Custom loss function

Abstract

(Received: 3-Nov.-2023, Revised: 28-Dec.-2023 , Accepted: 21-Jan.-2024)

Tejaswita Kumari,Abu Nasar Ghazali,Anupama Senapati

#Koch fractal geometry #UWB #DGS #Group delay #Correlation coefficient #Fidelity factor #Octagonal #WBAN #WPAN

Abstract

(Received: 12-Nov.-2023, Revised: 3-Jan.-2024 , Accepted: 20-Jan.-2024)

Mohammed Al-Qaraghuli,Ola Arif Jaafar

#Arabic spelling correction #Transformers #Text-to-text transfer transformer #T5 #Natural-language processing

Abstract