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.

Bibliographic Details
Main Authors:	Taus, Shehjad Ali, Hasan, Riazul, Rasul, Golam, Tabassum, Anila, Muttakin, Khondoker Al
Other Authors:	Alam, Md. Golam Rabiul
Format:	Thesis
Language:	English
Published:	Brac University 2024
Subjects:	Deep learning Natural language processing CNN RNN Computer-aided software engineering User interfaces (Computer systems) Deep learning (Machine learning)
Online Access:	http://hdl.handle.net/10361/22853

Similar Items

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Deep Learning based Medicinal Plants Leaf Recognition
by: Mahalanabish, Tonusri
Published: (2023)

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

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

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

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

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

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

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

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

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

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

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

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

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

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