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Dissertations/Theses - Department of Computer Science and Engineering: Recent submissions

Now showing items 21-40 of 389

Novel cloud storage ecosystem for efficient and secured multimedia services

Mukta, Jannatun Noor (Department of Computer Science and Engineering (CSE), 2023-06-04)

Since massive numbers of images are now being communicated from, and stored in different cloud systems, faster retrieval has become extremely important. This is more relevant, especially after COVID-19 in bandwidth-constrained ...
Efficient algorithms for community aware ridesharing group set queries

Nabila, Shuha (Department of Computer Science and Engineering (CSE), 2022-11-12)

Abstract Ridesharing services have been becoming aprominent solution to reduce the road trafficcongestionandenvironmentalpollutioninurbanareas.Existingridesharing servicesfallapartinensuringbothfairnessandthesocialc ...
Prediction based replica selection strategy for reducing tail latency in distributed systems

Shithil, Santa Maria (Department of Computer Science and Engineering (CSE), 2022-07-30)

The deployment of modern applications in geo-distributed systems results in performance fluctuation which is a consequence of long-tail latency. To deliver high- quality services these applications always strive to adapt ...
Novel architecture for mitigating cold start problem in serverless computing

Solaiman, Khondokar (Department of Computer Science and Engineering (CSE), 2023-01-24)

Features like no server maintenance, low cost, and elasticity are attracting developers to build applications utilizing the functions-as-a-service (FaaS) architecture on serverless platforms.Researchers have proposed various ...
A Deep Ensemble Approach of Anger Detection From Audio-Textual Conversation

Nahar, Mahjabin (Department of Computer Science and Engineering (CSE), 2022-05-15)

Anger detection from conversations has many real-life applications that include improving interpersonal communications, providing customer services, and enhancing workplace performance. Despite its numerous applications ...
Top k alternative itineraries for trip recommendation

Mukit Rashid, Syed Md. (Department of Computer Science and Engineering (CSE), 2022-05-28)

Trip itinerary recommendation finds an ordered sequence of Point-of-Interests (POIs) from a large number of candidate POIs in a city. Users visiting a new city can use such a recommendation system to easily find an itinerary ...
Efficient technique for online crowdshipping based package delivery with daily commuters

Eusuf, Shadman Saqib (Department of Computer Science and Engineering (CSE), 2022-11-29)

Theadvancementoflocation-awaretechnologiesenablesgeneratinganunprecedented amount of trajectories representing the daily commuting patterns ofdwellers in a city. A wide variety of location-based services have started ...
Computational phylogenetics using phylogeny-aware multi-objective optimization

Ali Nayeem, Muhammad (Department of Computer Science and Engineering (CSE), 2022-03-21)

In the current post-genomic era, the amount of observed genomic data is continuously increasing at a rapid rate particularly due to the availability and relative affordability of various sequencing technologies. Robust ...
Deep learning-based approaches for intelligent trip planning using public transport

Mahmood, Md. Tareq (Department of Computer Science and Engineering (CSE), 2022-10-27)

Every day millions of users use trip planners (or equivalently journey planners) for smooth and convenient daily commuting using public transport. These trip planners (e.g., Google Maps trip planner) allow users to search ...
A Deep Learning Based Framework for 3D Reconstruction of Femur from QCT Images

Sultana, Jamalia (Department of Computer Science and Engineering (CSE), 2023-06-21)

Deep Learning (DL) based techniques have been proven to be very effective in medical image segmentation and reconstruction of 3D anatomies of a human body. The success of DL methods primarily depends on extensive and ...
Quartet fiduccia-mattheyses revisited for larger phylogenetic studies

Mim, Sharmin Akter (Department of Computer Science and Engineering (CSE), 2022-06-15)

Withtherecentbreakthroughsinsequencingtechnology,phylogenyestimationatalargerscalehas becomeahugeopportunity.Therefore,foraccurateestimationoflargescalephylogeny,substantial endeavourisbeingdevotedinintroducingnewalgorit ...
Revealing associations among negative feelings and EEG-based brainwave signals in Rohingya refugees

Dina, Kazi Sharmin (Department of Computer Science and Engineering (CSE), 2022-02-28)

Negative feelings, e.g., hopelessness, helplessness, sadness, etc., often result in a loss of purpose and meaning in life, which can get associated even with lethal outcomes such as suicides. The negative feelings are ...
Better conditional text generation with low-resource and multilingual models

Hasan, Tahmid (Department of Computer Science and Engineering (CSE), 2022-05-14)

Recent advances in deep learning have aided in the development of neural language models that have achieved state-of-the-art results in many natural language processing (NLP) tasks. Conditional text generation, a major ...
Overlapping community detection using deep graph neural networks

Muttakin, Md Nuru (Department of Computer Science and Engineering, 2022-08-17)

Artificial intelligence (AI) is comparable to human intelligence in many cases. Especially in the case of graph-structured data, there are many AI algorithms and machine learning models which not only can understand these ...
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Swift migrations to balance essential load of distributed control plane in software defined networks

Sikder, Ratul (Department of Computer Science and Engineering, 2023-03-25)

Software defined network (SDN) has brought a new dimension to networking technology in recent years by decoupling the data plane and the control plane of networking devices. This decoupling enables the control plane device, ...
Integrated physiological model of virtual diabetic patient for machine learning research

Islam, Md. Jahirul (Department of Computer Science and Engineering, 2021-03-29)

Diabetes management consists of two major tasks: forecasting the blood glucose trend and taking a therapeutic decision. Due to the advancement of sensor technologies, it becomes easy to obtain continuous glucose monitoring ...
Leveraging features from EEG and free-hand sketches for effective diagnosis of post traumatic stress disorder

Shahid, Farhana (Department of Computer Science and Engineering, 2021-05-27)

Due to war, violence, and other traumatic events, marginalized communities, e.g., refugees and internally displaced people are more vulnerable to develop Post-traumatic Stress Disorder (PTSD). The diagnosis of PTSD suffers ...
Generating location heatmap of dengue infected area using a novel blockchain-based crowdsourcing framework

Khan, Md Shohel (Department of Computer Science and Engineering, 2021-06-05)

The impact of global transformation due to mosquito-borne diseases like dengue is noticeable and according to the World Health Organization, approximately 96 million people are infected by dengue per year. Moreover, the ...
Privacy-Enhanced approach for planning safe routes with crowdsourced data and computation

Islam, Fariha Tabassum (Department of Computer Science and Engineering, 2021-06-28)

In this thesis, we introduce a novel safe route planning problem and develop an efficient solution to ensure the travelers’ safety on roads. Though few research attempts have been made in this regard, all of them assume ...

Now showing items 21-40 of 389

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