Data analysis in modern times involves working with large volumes of data, including time-series data. This type data is characterized by its high dimensionality, enormous volume, and the presence both noise redundant features. However, "curse dimensionality" often causes issues for learning approaches, which can fail to capture temporal dependencies present To address this problem, it essential reduce dimensionality while preserving intrinsic properties dependencies. will help avoid lower...

Autism is a neurodevelopmental disorder which not fully curable. However, early intervention can improve the condition of children requires detection autism. For this purpose, screening tools have been immensely used in developed countries. Whereas developing countries, people are getting such benefits. In paper, new automated approach, Barta proposed to screen autism using smart devices. The application integrates questions Bengali version M-CHAT tool with pictorial representation....

Nowadays, the banking transaction system is more flexible than previous one. When sector introduces ATM booth to us, it was a step ahead ease human effort. Here, an automated teller machine that gives out money consumer by inserting card in it. All booths support both credit and debit cards for transaction, this has saved everyone's time. But still, there are some certain situations, i.e., forgetting authentication details can ruin consumer's day. For reason, paper tried propose will help...

In recent times, the increment of mobile phone usage has resulted in a huge number spam messages. Spammers continuously apply more and new tricks that cause managing or preventing messages challenging task. The aim this study is to detect message prevent different cybercrimes as have become security threat nowadays. paper, studies on SMS problems perform better accuracy using several techniques such Support Vector Machine, K-Nearest Neighbor, Naïve Bayes, Random Forest, Logistic Regression...

There are many destructive diseases in the world which cause rapid death by taking time to affect such as cancer and diabetes. They take a lot of spread, thus they curable or somewhat scalable great extent if diagnosed soon after introduced into human body. Research shows that almost all type can be cured detected early stage. It is also true for diabetes controlled at right time. So, prediction technique takes help from computer processes data affected user detect possible contamination...

Vector or numeric representation of text documents has been a revolution in natural language processing as it represents similar parts such way that they are very close to each other, making easy classify find similarities among them. These vectors also represent the we use words well which helps finding similarity even between pair words. While word2vec is technique word vector, doc2vec takes another level by representing whole sentence document vector. Being able an entire vector allows...

Cancer research is one of the major and significant areas in medical research. A substantial number has been performed this area several methods have employed. However, accuracy cancer prediction yet to reach near perfection as conventional classification limitations. In recent times, microarray processed gene expression data used predict with accuracy. The are usually high dimensional comprises relatively small samples which makes them difficult classify. order achieve higher accuracy,...

This study investigated the predictive ability of ten different machine learning (ML) models for diabetes using a dataset that was not evenly distributed. Additionally, evaluated effectiveness two oversampling and undersampling methods, namely Synthetic Minority Oversampling Technique (SMOTE) Near-Miss algorithm. Explainable Artificial Intelligence (XAI) techniques were employed to enhance interpretability model's predictions. The results indicate extreme gradient boosting (XGB) model...

Nearly one billion people are suffering from various disabilities around the world. People in developed countries have resources, facilities and technologies to cope up while developing countries, they suffer more due lack of assistive technologies. Many been considered as cost effective solution overcome limitations Smart Home (SH) is them. SH a vision home automation system that interacts with users provide comfort ease access. embedded can better living for disabled people. As result...

Human activity recognition (HAR) is considered as one of the most difficult and challenging issues now a days. Many experiments are in progress regarding this problem. Among many human activities, mostly six for research area. This issue can be measured with help smartphones smartphone sensors, along connection Internet Things (IoT) devices. In research, an improved deep learning scheme proposed activities. A customized Neural Network (NN) model was designed tested research. The obtained...

Majority of the revenue from banking sector is usually generated long term deposits by customers. It for banks to understand customer characteristics increase product sales. To aid this, marketing strategies are employed target potential customers and let them interact with directly, generating a large amount data on demographics. In recent years, it has been discovered that various analysis, feature selection machine learning techniques can be analyze as well variables impact decision...

The computational analysis of the Bangla poems is a challenging task due to diverse linguistic, stylistic, and semantic features language. In this work, we prepared dataset 1311 two separate categories: Love Miscellaneous poem, which contain 500 811 respectively. We used word or semantic-based classify using TF-IDF feature techniques. Logistic Regression, Naïve Bayes (NB), Support Vector Machine (SVM) models for classification through machine learning, Bayesian optimization techniques...

In recent years, Internet of Things (IoT) is rapidly gaining popularity as it has a vast potential. But without proper security and privacy measures, IoT can facilitate cyberattacks possesses some serious issues that need to be tackled well utilize its fullest this study, an attempt briefly discuss the basic concept pros cons was taken by authors. Moreover, research also highlights architectural issues, vulnerabilities, future concerns cost when comes case privacy. addition that, major...

Chronic Renal Disease (CRD) or Kidney (CKD) is defined as the continuous loss of kidney function. It's a long-term condition in which renal doesn't work properly, gets damaged and can't filter blood on regular basis. Diabetes, high pressure, swollen feet, ankles hands other disorders can cause chronic disease. By gradual progression lack treatment, it lead to failure. A prior prognosis CKD nourish quality life higher range such circumstances enhance attribute larger province. Now days,...

Due to the variety of cyber-attacks or threats, cybersecurity community enhances traditional security control mechanisms an advanced level so that automated tools can encounter potential threats. Very recently, Cyber Threat Intelligence (CTI) has been presented as one proactive and robust because its threat prediction. Generally, CTI collects analyses data from various sources e.g., online forums, social media where cyber enthusiasts, analysts, even cybercriminals discuss computer...

Abstract The field of robotics has grown exponentially over the years, especially social aspect, which enabled robots to interact with humans meaningfully. Robots are now used in many domains, such as manufacturing, healthcare, education, entertainment, rehabilitation, etc. Along their widespread usage real-life environments, have been companions humans. With increased amount research done on human–robot companionship (HRC), it is important understand how this domain developing, direction,...

Transcranial Doppler Ultrasonography (TCD) has emerged as a Brain-computer Interface (BCI) modality with great promise and potential. TCD is non-invasive ultrasound technology that detects the changes in cerebral blood flow velocity (CBFV) which recently been used functional brain imaging tool to examine effects of mental tasks on velocities, particularly focusing middle arteries (MCAs). Individuals, having cognitive awareness but severe neuro-motor disabilities like muscular dystrophy or...