Abstract Prediction using machine learning algorithms is not well adapted in many parts of the business decision processes due to lack clarity and flexibility. The erroneous data as inputs prediction process may produce inaccurate predictions. We aim use models area by predicting products’ backorder while providing flexibility authority, better process, maintaining higher accuracy. A ranged method used for specifying different levels features cope with diverse characteristics real-time which...

Depression is a major disorder and growing problem that impacts person's way of living disrupts natural functioning. especially prevalent in the younger population underdeveloped developing countries. Youth countries such as Bangladesh face difficulties with studies, jobs, relationships, drugs, family problems which are all or minor contributors pathway to depression. This research besides predicting depression university undergraduates for purpose recommendation psychiatrist focuses on...

A precise credit risk assessment system is always vital to any financial institution for impeccable and gainful functioning. In such an ever-changing economy as the rate of loan defaults are gradually increasing, authorities institutions finding it more difficult correctly assess requests tackle risks defaulters. light these events this paper proposes a machine learning model which can precisely predict possible defaulters lending institutions. comparative analysis has been made using tuned...

Rail line anchors/fasteners are the metallic components that attach each with sleepers. These essential rail as absence of these often result in derailments. Therefore order to prevent dangerous situations and ensuring safety lines periodically inspected. inspection many countries especially third world countries, like Bangladesh, is performed manually by a trained human operator who walks along track searching for visual anomalies. This manual lengthy, laborious subjective. paper presents...

The worldwide revolution in Internet has changed the lifestyles of many people terms way they work and interact with others. These changes also have influenced government functions other private institutions as well its citizens. Governments countries are taking proactive measures this domain aiming to deliver more interactive services citizens businesses through e-governance. Cloud computing helps improve e-government execution effectiveness create new business opportunities. is an...

This paper investigates a new approach of finding sentence level sentiment analysis using different machine learning algorithms. Three algorithms — SVM (Support Vector Machine), Naïve Bayes and MLP (Multilayer Layer Perceptron) have been used both for analysis. Moreover two classifiers types kernels in this work to identify analyze the difference accuracy as well find best outcome among all experiments. For aclimdb movie review dataset has used. Lastly, impact stop words number attributes...

Restaurant business is a prospective and profitable nowadays. However, ensuring quality food, good stuff, inner-environment etc. big concern most importantly before facing all these, the trickiest part to choose perfect place where restaurant will flourish. Without doing research on this area, setting up may lead an immediate downfall. In recent time, for choosing preferred location calculating estimated risk, people are now hiring professionals do ground check here data scientists coming...

Adverse Drug Reaction (ADR) is one of the many uncertainties that are considered a fatal threat to pharmacy industry and field medical diagnosis. Utmost care taken test new drug thoroughly before it introduced made available public. However, these pre-clinical trials not enough on their own ensure safety. The increasing concern ADRs has motivated development statistical, data mining machine learning methods detect Reactions. With availability Electronic Health Records (EHRs), become possible...

With the help of globalization, fast food has become very popular in Bangladesh as it is concerned with taste and habit people. Based on customers' choice, there are many factors associated such rating, reviews, environment, publicity, so on. Hence, vital to evaluate opinion observe reasons behind their preference. The objective this research get insight young generations' preference respect relevant key features order gain restaurant business success. 170 respondents were gathered based a...

Domestic gas supply for cooking in under developed countries is facing terrible insufficiency last few years. Vehicles, being run by natural have mostly influenced the dearth. Electricity production these always inadequate and it not a good solution either. Use of renewable energy can help cause also contribute generation. To solve this problem an electric stove was later on experiment done with finally analyzed to check its compatibility real market. For stove, solar photovoltaic (PV) will...

Traditional approaches in speech emotion recognition, such as LSTM, CNN, RNN, SVM, and MLP, have limitations difficulty capturing long-term dependencies sequential data, the temporal dynamics, struggling to capture complex patterns relationships multimodal data. This research addresses these shortcomings by proposing an ensemble model that combines Graph Convolutional Networks (GCN) for processing textual data HuBERT transformer analyzing audio signals. We found GCNs excel at Long-term...

Bangladesh is prone to a multitude of natural hazards and vulnerable the adverse impacts future change in climatic conditions. One most aspects climate fragile coastal ecosystem Bangladesh. Here, different ecosystems are highly exposed cyclone, sea level rise, flooding, flash flood, intense riverine floods, droughts other extremes. Traditionally, Bangladesh, variations have provided opportunities (resources) imposed costs (hazards), depending on how society adapted environment. In drive for...

This paper presents a remote health monitoring system focusing on the general well being of elderly people. The provides several functionalities such as wearable gadget to monitor overall condition patient and an android application software for relatives involved in eldercare. is run by microprocessor it will gather information using sensors. Moreover, consists some functions one-button emergency call feature, medicine reminder, refill notification Geofencing. By GSM GPS modules patient's...

The demand for electronic medical data sharing is increasing due to treatment delays and increased medication costs caused by disorganization between healthcare providers. integration of computer technology has met these challenges revolutionized healthcare. Through cloud computing, accessing from multiple locations become easier. However, concerns about the protection such private have arisen as involuntary disclosure this information can affect a patients personal life. Although...

After reviewing the background and motivations for using modern computational methods design of reinforced concrete structures, an algorithm making use object oriented programming language Python professionally developed finite element software is presented sizing placement reinforcement in RC structures. The method then used to a deep beam. To validate design, two identical beam specimens were manufactured with obtained steel, tested laboratory. It was found that experimental results...