Alzheimer's Disease (AD) is a complex condition impacting memory, cognition, and daily functions. Early diagnosis is crucial for effective management and treatment, although no cure currently exists. In this study, we develop and evaluate a custom ...

The anonymity and untraceability benefits of the dark web increased its popularity exponentially. The cost of these technical benefits is that such anonymity has created a suitable womb for illicit activity. Hence—in collaboration with cybersecurity ...

Brain tumors present a formidable healthcare challenge worldwide, especially in India, where around 50,000 new cases emerge annually. This study proposes an innovative method utilizing Machine Learning (ML) and Deep Learning (DL), particularly ...

Currently, the uncertainty in meteorological conditions presents a challenge for accurately forecasting photovoltaic (PV) power output. Based on actual data from a PV plant, this manuscript proposes a PV power generation prediction method based on ...

Stock data are characterized by high dimensionality and sparsity, making stock trend prediction highly challenging. Although the Light Gradient Boosting Machine (LightGBM), based on web semantics, excels at capturing global features and efficiently ...

The discoveries in this paper show that Intelligence Processing Units (IPUs) offer a viable accelerator alternative to GPUs for machine learning (ML) applications within the fields of materials science and battery research. We investigate the process of ...

Sleeping posture recognition attracts much attention due to its crucial role in healthcare applications. Many approaches are proposed to address this task using in-bed pressure sensor data, including deep neural network models with their robust ...

Stroke is the leading cause of adult disability among all prevalent pathologies around the world. To improve post-stroke patients' active daily life and living quality, revealing the underlying brain mechanism of stroke recovery is crucial. The ...

Textual documents representation is considered as a crucial phase in many text mining tasks. It intends generally to capture the semantic information of the whole document into a representation vector, which could be further utilized in such ...

In recent years, the emerging growth of various network technologies, namely the cloud computing, 5 G networks, Internet of Things (IoT), and so on resulted in the createion of huge quantity of data and creates challenges to the security of ...

The goal of emotion detection is to find and recognise emotions in text, speech, gestures, facial expressions, and more. This paper proposes an effective multimodal emotion recognition system based on facial expressions, sentence-level text, and voice. ...

In recent years, breast cancer has caused death among women around the world. Detecting breast cancer in the early stage helps to eradicate the survival rate to aid accurate medical treatments. The early detection of breast cancer is necessary, ...

Most cancer diagnoses are inevitably fatal, and an increasing number of genetic and metabolic abnormalities are being identified by experts as the disease’s cause. Every organ in the body is susceptible to the invasion and spread of cancerous ...

A lung infection is usually the cause of pneumonia, a common medical condition. It irritates the lungs’ tissues and reduces their functionality. The severity of pneumonia can vary from a minor illness to a serious one. Identifying the exact infection ...

With rise of digitization, usage of digital documents and images have become indispensable for identity verification and address authentication. However, the prevalence of advanced image editing tools in today’s digital era has led to frequent doubts ...

Cancer, regardless of its type, represents a formidable threat to human life and disrupts the delicate balance of normal bodily functions. Among the various forms of cancer, malignant brain tumors stand out as a leading cause of mortality in both ...

Auscultation is a process where a stethoscope is used to listen to the heart sound signal to analyse the heart’s functionality. Due to the stethoscope’s non-invasiveness, convenience, and cost-effectiveness, it is the most common primary screening ...

The computer vision field of object identification and tracking has been put to use in a broad variety of settings, from medical monitoring to autonomous vehicle navigation to anomaly detection and beyond. The efficiency of object detectors and ...

With the development of digital technology, various fields generate and share a large amount of visual content. Image retrieval is a hot research direction in the field of computer vision. Efficient and accurate retrieval of query content from massive ...

Human behavior analysis is a fascinating and complex field that has the potential to improve our understanding of social interactions and mental health. One approach to studying human behavior is using eye gaze detection technology. Eye movements ...