• Conditional variational laplace autoencoder based network intrusion detection system 

  Shuhana Azmin (Department of Computer Science and Engineering (CSE), BUET, 2022-09-19)

  Network Intrusion Detection System (NIDS) is an essential tool for network administrators to de- tect security breaches. Currently, the existing anomaly-based intrusion detection methods rely on traditional machine learning ...
• Large scale empirical study on front-end software development technology from community QA sites 

  Rahman Farabi, Ahmad (Department of Computer Science and Engineering (CSE), 2023-05-21)

  Front-endsoftwaredevelopmenttechnologyhasbeenrapidlyevolvingforthepastdecadeand dominating over other technologies.The major part of this technology is possessed by the JavaScript(JS)frameworkswhichareintroducingnewertec ...
• Leveraging a wearable for activity recognition in salat 

  Ishrat, Jahan (Department of Computer Science and Engineering (CSE), 2023-05-02)

  Salat, the most important worship of Muslims and the second pillar of Islam, is an integral part of the Muslim community. Salat involves a series of steady and transitional activities to be performed in a specific sequence. ...
• Performance analysis of HSC ICT e-learning system based on revised bloom's taxonomy 

  Farhad Hoshen Bakaul, Md. (Department of Computer Science and Engineering (CSE), 2022-04-26)

  The ICT course at Higher Secondary Level of Bangladesh has six chapters namely Information and Communication Technology: World and Bangladesh Perspective, Communication System and Networking, Number System and Digital ...
• Revisiting succinylated lysine residue prediction with carefully selected physicochemical and biochemical properties of amino acids 

  Shehab, Sarar Ahmed (Department of Computer Science and Engineering (CSE), 2022-05-16)

  Succinylation of lysine residue is a special type of post-translational modification(PTM).Ithasacrucialroleinbalancingtheprocessesofcells.Abnormalsuccinylation can be the cause of cancers, metabolism diseases, inflammation ...
• New mixture of distillation strategy for knowledge transfer 

  Mamunoor, Rashid (Department of Computer Science and Engineering (CSE), 2023-03-27)

  Despite the fact that best performing supervised learning models are often ensemble of many base classifiers or a very large and complex classifier, it may suffer by lack of resource related problem on smart-phones or ...
• Transit network design for evacuation modeling using heuristic and multi-objective optimization based approaches 

  Jaiaid, Mobin (Department of Computer Science and Engineering (CSE), 2022-08-06)

  Evacuation modeling is an important interdisciplinary topic which is extremely important as natural or man-made disasters are parts of our life. This thesis investigates evacuation modeling from a route generation and trip ...
• Hybrid model for cyberbullying detection from Bangla text in social media 

  Sultana, Umme Habiba (Department of Computer Science and Engineering (CSE), 2023-03-22)

  With the rapid advancement in the field of information and communication technology, people are getting connected with each other via social media sharing contents like texts, images, or posts. Since the trend of sharing ...
• Challenges in devops engineering: a study of stack overflow posts 

  Masud Sarker (Department of Computer Science and Engineering (CSE), BUET, 2022-08-30)

  Devops practices combine software development and IT (Information Technology) operations. Our continuous need for rapid but quality software development necessitates adopting high-quality devops tools. Therefore, learning ...
• Towards detecting, extracting, and parsing the address information from Bangla signboard: a deep learning-based approach 

  Murad, Hasan (Department of Computer Science and Engineering (CSE), 2023-06-22)

  Retrieving textual information from natural scene images is an active researchareainthefieldofcomputervisionwithnumerouspracticalapplications. Detectingtext regions and extracting text from signboards is a challenging ...
• CHARACTERIZATIONANDALGORITHMDESIGN FORSOMESUBCLASSESANDSUPERCLASSESOF PAIRWISECOMPATIBILITYGRAPHS 

  Papan, Bishal Basak (Department of Computer Science and Engineering (CSE), 2023-06-24)

  A graph G = (V,E) is called a pairwise compatibility graph (PCG) if there exists an edge-weighted tree T and two non-negative real numbers dmin and dmax such that each leaf u of T corresponds to a vertex u ∈ V and there ...
• Bimodal longitudinal investigation on changes in sentiments over social media interactions owing to covid-19 pandemic 

  Saidul Hoque Anik, Md. (Department of Computer Science and Engineering (CSE), BUET, 2022-08-31)

  Changes in human sentiments over cyberspace with the emergence of a pandemic were unheard of before COVID-19, given that the last recorded pandemic occurred decades before interactive cyberspace existed. Accordingly, the ...
• Crispr CAS-9 off-target prediction with state-of-the-art deep learning techniques 

  Toufikuzzaman, Md. (Department of Computer Science and Engineering (CSE), BUET, 2023-08-05)

  CRISPR Cas-9 is a groundbreaking gene-editing tool that harnesses a bacterial defense system to accurately alter DNA sequences. This innovative technology holds vast promise in multiple domains, such as biotechnology, ...
• 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 ...

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