Software engineering effort estimation plays a significant role in managing project cost, quality, and time creating software. Researchers have been paying close attention to software during the past few decades, great amount of work has done utilizing variety machine-learning techniques algorithms. In order better effectively evaluate predictions, this study recommends various machine learning algorithms for estimating, including k-nearest neighbor regression, support vector decision trees....

<title>Abstract</title> <bold>Background: </bold>Persons with disabilities in LMICs facing numerous challenges accessing essential healthcare services. However, this understanding is lacking so far and Bangladesh. This study aimed to explore the pattern determinants of services access among persons disability <bold>Methods: </bold>We analysed data from 4,293 extracted 2021 National Survey on Persons Disabilities. The outcome variable was service within three months survey, categorized as...

Medical Named Entity Recognition (MedNER) is an indispensable task in biomedical text mining. NER aims to recognize and categorize named entities scientific literature, such as genes, proteins, diseases, medications. This work difficult due the complexity of language abundance available material sector. Using domain-specific embedding Bi-LSTM, we propose a novel model that employs deep learning approaches improve performance on publications. Our gets 98% F1-score curated data-set...

Debatepedia is a publicly available dataset consisting of arguments and counter-arguments on controversial topics that has been widely used for the single-document query-focused abstractive summarization task in recent years. However, it recently found this limited by noise even most queries do not have any relevance to respective document. In paper, we present methodology cleaning leveraging generative power large language models make suitable summarization. More specifically, harness...

The Software Effort Estimation (SEE) tool calculates an estimate of the amount work that will be necessary to effectively finish project. Managers usually want know how hard a new project ahead time so they can divide their limited resources in fair way. In fact, it is common use effort datasets train prediction model predict much take. To good estimator, you need enough data, but most data owners don't share closed source because are worried about privacy. This means we only get small data....

Purpose This study aimed to assess the accessibility of social protection programs for individuals with disabilities in Bangladesh and identify factors at individual, household, community levels influencing this accessibility. Methods We analyzed data from 4,293 respondents 2021 National Survey on Persons Disabilities. categorized participation as follows: no assistance (0), support received within six months (1), beyond (2). Explanatory variables were considered levels. A multilevel...

Persons with disabilities in LMICs facing numerous challenges accessing essential healthcare services. However, this understanding is lacking so far and Bangladesh. This study aimed to explore the pattern determinants of services access among persons We analysed data from 4293 extracted 2021 National Survey on Disabilities. The outcome variable was within three months survey, categorized as either "yes" or "no" based perceived needs. Several individual, household, community-level factors...

Abstract. Finding the optimal solution out of all reasonable solutions is goal an optimization problem. Numerous metaheuristic algorithms have been created in literature during past 30 years. It essential to assess each algorithm's performance using broad case studies order assist engineers selecting algorithm for given In this research, we give a comparative analysis four used solve test redundancy reduction problem: teaching-learning-based (TLBO), jaya (JA), sine-cosine (SCA), and...

The process of software testing is utmost importance and requires a major allocation resources. It has substantial influence on the quality dependability products. Nevertheless, as quantity test cases escalates, feasibility executing all them diminishes, accompanying expenses related to preparation, execution time, upkeep grow excessively exorbitant. objective Test Redundancy Reduction (TRR) mitigate this issue by determining minimal subset suite that satisfies requirements primary while...

Doctors are produced to meet the health need of people. People, as a patient have many expectations from doctor. often don't know those expectations. The objective this study was find out patients doctors and goal is make aware these so that they give due attention Waiting in GPs' clinic waiting department Upozilla Health Complex Rangpur Medical College Hospital were interviewed their expectation doctors. Focus group discussion done with community people when care. It found most expects good...

One of the alarming aspects Bangladesh’s traffic safety is massive growth in number drivers without previous driving instruction or licenses. Proper defined as systems and techniques used to safeguard road users against dying being severely injured. A simulator policy an environmental model are validated this research. It aims create a safe mass transit system with minimal fatalities injuries. The study focuses on current transportation strategies. Educated internet-using Bangladeshi took...

The average software company spends a huge amount of its revenue on R&D for how to deliver time. Accurate effort estimation is critical successful project planning, resource allocation, and on-time delivery within budget sustainable development. However, both overestimation underestimation pose significant challenges in development, necessitating continuous improvement techniques. This study reviews recent machine learning approaches exploited enhance (SEE) accuracy, focusing research...

Large Language Models (LLMs) have recently gained significant attention due to their remarkable capabilities in performing diverse tasks across various domains. However, a thorough evaluation of these models is crucial before deploying them real-world applications ensure they produce reliable performance. Despite the well-established importance evaluating LLMs community, complexity process has led varied setups, causing inconsistencies findings and interpretations. To address this, we...

Postpartum family planning (PPFP) is an essential component of birth care that helps avert maternal and newborn health hazards by preventing short-spaced births. Many Asian African studies found PPFP counselling during antenatal (ANC) postnatal (PNC) effective in increasing uptake. Studies Bangladesh, however, provided limited evidence the feasibility effectiveness integrating services. The national action plan integrated services (counseling providing methods) immunisation programmes....

Debatepedia is a publicly available dataset consisting of arguments and counter-arguments on controversial topics that has been widely used for the single-document query-focused abstractive summarization task in recent years. However, it recently found this limited by noise even most queries do not have any relevance to respective document. In paper, we study whether large language models (LLMs) can be utilized clean make suitable summarization. More specifically, harness generation...

Human-robot interaction (HRI) is an interdisciplinary research field aimed at improving the between human beings and robots. For effective prolonged interaction, both interacting partners need to be identified focus of attention each other. In other words, tracks or determine interest their level interest. Interaction a robot may influence by proximity angle them. this paper, we proposed computer vision framework for robots that will its partner in two-party setting. We have used distance...

Abstract It is known [Z] that if X any positive random variable, then E (X n )&gt;[ (X)] for integer n, provided the expectations exist. A matrix generalization of this result = ‐1 was given in [1]. We will show a simple exercise analysis yields or negative.

As camera quality improves and their deployment moves to areas with limited bandwidth, communication bottlenecks can impair real-time constraints of an ITS application, such as video-based pedestrian detection. Video compression reduces the bandwidth requirement transmit video but degrades quality. level decreases, it results in corresponding decreases accuracy vision-based detection model. Furthermore, environmental conditions (e.g., rain darkness) alter ratio make maintaining a high more...

Traffic congestion at a signalized intersection greatly reduces the travel time reliability in urban areas. Adaptive signal control system (ASCS) is most advanced traffic technology that regulates phasing and timings considering patterns real-time order to reduce congestion. Real-time prediction of queue lengths can be used adjust for different movements an with ASCS. The accuracy varies based on factors, such as stochastic nature vehicle arrival rates, day, weather driver characteristics....