UI development and functionality testing automation in android application

UI development and functionality testing automation in android application

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Bibliografiske detaljer
Main Authors:	Taus, Shehjad Ali, Hasan, Riazul, Rasul, Golam, Tabassum, Anila, Muttakin, Khondoker Al
Andre forfattere:	Alam, Md. Golam Rabiul
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2024
Fag:	Deep learning Natural language processing CNN RNN Computer-aided software engineering User interfaces (Computer systems) Deep learning (Machine learning)
Online adgang:	http://hdl.handle.net/10361/22853

Lignende værker

Application of deep learning in MRI classification of Schizophrenia
af: Joyee, Ramisa Fariha, et al.
Udgivet: (2024)

Predicting regional accents of Bengali language using deep learning
af: Ibrahim, Md. Abu, et al.
Udgivet: (2022)

A deep learning approach towards soft biometrics attributes prediction using CNN
af: Kibria, Maharab, et al.
Udgivet: (2022)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
af: Hasan, M. M. Kamrul, et al.
Udgivet: (2022)

Predicting crime using deep learning
af: Shihab, Muhammad Nafees, et al.
Udgivet: (2024)

Intracranial hemorrhage detection using CNN-LSTM fusion model
af: Ahmed, Kazi sabab, et al.
Udgivet: (2022)

Deep learning-based waste classification system for efficient waste management
af: Nakib, Abdullah Al, et al.
Udgivet: (2022)

Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
af: Arafat, Sheikh Mohammad, et al.
Udgivet: (2021)

Health trauma and well-being assistant for Bengali seniors in household: a multimodal approach
af: Islam, Md. Nazmul, et al.
Udgivet: (2024)

Corn leaf disease detection using deep convolution neural network
af: Rabbi, Rawhatur, et al.
Udgivet: (2023)

RetinalNet-500: a newly developed CNN model for eye disease detection
af: Toki, Sadikul Alim, et al.
Udgivet: (2023)

A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning
af: Morshed, Atique, et al.
Udgivet: (2021)

A modern technique to detect potholes by Computer Vision and Deep Learning
af: Saif, Muntasir Mahmud, et al.
Udgivet: (2023)

Reinforcement learning based autonomous vehicle for exploration and exploitation of undiscovered track
af: Issa, Razin Bin, et al.
Udgivet: (2020)

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
af: Sagor, Mostofa Kamal, et al.
Udgivet: (2021)

Classification of peripheral blood cell images using deep learning
af: Aadi, Oyshik Ahmed, et al.
Udgivet: (2024)

Document template identification and data extraction using machine learning and deep learning approach
af: Roy, Kaushik, et al.
Udgivet: (2024)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
af: Datta, Nirjhor, et al.
Udgivet: (2024)

Leveraging sequential deep learning models for detecting multitude of human action categories
af: Pranta, Kazi Al Refat, et al.
Udgivet: (2024)

Application of CNN based architectures in detection of distracted drivers
af: Arafin, Irfana, et al.
Udgivet: (2023)

Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
af: Dewanjee, Tanmoy, et al.
Udgivet: (2021)

Silent voice: harnessing deep learning for lip-reading in Bangla
af: Shaheen, Munia, et al.
Udgivet: (2024)

Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
af: Ahasan, Md. Mubtasim, et al.
Udgivet: (2022)

A hybrid rumor detection model derived from a comparative study of supervised approaches
af: Aothoi, Mehzabin Sadat, et al.
Udgivet: (2023)

An interpretable transformer based approach to classify Malaria from blood cell images
af: Islam, Mehafuza, et al.
Udgivet: (2023)

Deep Learning based Medicinal Plants Leaf Recognition
af: Mahalanabish, Tonusri
Udgivet: (2023)

ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
af: Bhuiyan, Abir Ahammed, et al.
Udgivet: (2024)

Automated image caption generator in Bangla using multimodal learning
af: Rodoshi, Mashiat Hasin, et al.
Udgivet: (2023)

Demand forecasting on supply chain using ML and NN
af: Hridi, Naoshin Anzum, et al.
Udgivet: (2023)

An efficient deep learning approach to detect skin Cancer
af: Islam, Ashfaqul, et al.
Udgivet: (2022)

Facial expression recognition: convolutional attentional masking network and ensemble approach
af: Kowsar, Ibna, et al.
Udgivet: (2021)

Damaged road detection using Image Processing and Deep Learning
af: Swadesh, Shimran Mahbub, et al.
Udgivet: (2022)

Detection of alzheimer's disease using deep learning
af: Hasan, Mahmudul, et al.
Udgivet: (2021)

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
af: Fiona, Driciru, et al.
Udgivet: (2024)

Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
af: Rayhan, Mohammad, et al.
Udgivet: (2020)

Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
af: Chakraborty, Dhruba, et al.
Udgivet: (2022)

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
af: Promita, Samanta Tabassum, et al.
Udgivet: (2022)

Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
af: Reza, S. M. Mushfiq, et al.
Udgivet: (2024)

Plant leaf disease identification
af: Hasan Mahin, Mohammad Rakibul, et al.
Udgivet: (2024)

Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
af: Hossain, Mainul, et al.
Udgivet: (2022)