Karl Andersson

Luleå University of Technology | LTU · Department of Computer Science, Electrical and Space Engineering (SRT)

Smishing attacks, a sophisticated form of cybersecurity threats conducted via Short Message Service (SMS), have escalated in complexity with the widespread adoption of mobile devices, making it increasingly challenging for individuals to distinguish between legitimate and malicious messages. Traditional phishing detection methods, such as feature-b...

In contemporary societies, ensuring the safety andwell-being of citizens is a paramount concern. Nowadays manykinds of occurrences are happening in front of our eyes butbecause of proper communication facilities, we can’t take anyimmediate action against this. To resolve this kind of problem wedeveloped a system named citizen protection service. Th...

Cybersecurity is the process of defending computer networks, systems, and digital data from intrusions, hacks, damage , and other cyber threats. It also prevents illegal access, and exploitation of sensitive and personal data, including financial records, healthcare information, and intellectual property. It is essential to extract the security inc...

Fake news detection is a critical challenge in the digital age, where misinformation spreads rapidly, causing real-world harm. In the context of the Bangla language, this problem is exacerbated by the scarcity of labeled data for model training. This paper introduces an enriched dataset of Bangla fake news, containing 7000 authentic and 1000 fake n...

Alzheimer's disease is a significant public health concern, and early detection is crucial for effective intervention. In this paper, we explore the application of ensemble learning approaches to classify Alzheimer's disease in brain imaging data(MRI images). We employed several pre-trained deep learning models, including VGG-19, ResNet-152, Effici...

Performance evaluations are conducted with the intention of establishing each worker's level of commitment to the company. Numerous businesses are challenged by the issue of employee attrition, which occurs when talented workers with years of expertise leave the firm on a regular basis. On the other hand, employee turnover can be caused by a wide v...

Skin cancer poses a significant threat to human health, particularly when early identification and accurate diagnosis are lacking. Early detection is pivotal for successful treatment, given the potential lethality of this disease. While skin cancer is commonly associated with sun-exposed areas, it can also manifest on regions shielded from sunlight...

Objectives: The agricultural sector in many South Asian countries, including Bangladesh and India, plays a pivotal role in the economy, with a significant portion of the population dependent on it for livelihood. However, farmers often encounter challenges such as unpredictable weather conditions, soil variability, and natural disasters like floods...

ABSTRACT Objectives: The agricultural sector in many South Asian countries, including Bangladesh and India, plays a pivotal role in the economy, with a significant portion of the population dependent on it for livelihood. However, farmers often encounter challenges such as unpredictable weather conditions, soil variability, and natural disasters li...

Detecting and understanding the meaning of sentences has emerged as a crucial area of research in natural language processing, driven by the prevalence of social media platforms where users freely express their thoughts and emotions. Unfortunately, the anonymity provided by these platforms has led to the proliferation of slang, vulgar, and abusive...

Heartbeat sound signal classification has been extensively researched in the field of medical signal processing, with various approaches proposed to address the challenges associated with accurate and efficient classification. The objective of this research is to develop an accurate and efficient heartbeat sound signal classification system using h...

This paper presents a Hybrid Supervised-Unsupervised Learning Framework tailored for Biomedical Data Analysis and Gene Signature Identification. The study meticulously analyzes a dataset comprising patients' information in the biomedical domain, employing rigorous preprocessing steps to ensure data integrity and relevance. Non-contributing attribut...

Chronic Kidney Disease (CKD) poses significant health risks, particularly for elderly and middle-aged individuals, leading to gradual kidney damage and reduced renal function. CKD's impact on AQ1 morbidity and mortality rates underscores the urgent need for early diagnosis. This study proposes a machine learning-based prediction system leveraging k...

The aftermath of primary cancer treatment presents a multitude of challenges for patients, necessitating prolonged recovery periods that can span months or even years. Survivors contend with a range of debilitating side effects, including fatigue, constant pain, lym-phedema, weight fluctuations, swallowing difficulties, and menopause symptoms. Thes...

The detection of varied hand gestures in heterogeneous settings plays a crucial role in enhancing human-computer interaction. AQ1 Leveraging the YOLO-V4 model for object detection offers the potential for faster performance and improved accuracy, which are paramount in the field of Artificial Intelligence. This paper presents an approach AQ2 to tra...

Bangla Poems Genre Classification is crucial for understanding and preserving cultural heritage. In this paper, we employ both machine learning and deep learning approaches to classify Bangla poetry genres. Our study encompasses a range of models, including Multinomial Naive Bayes, Support Vector Machine, Random Forest, Logistic Regression, Decisio...

In the present day, employers are discussing difficulties with educated 1 people. The web system posts positions in the authority and recommends various 2 career categories based on skills and qualifications. Those who meet the qualifications AQ1 3 for jobs at different organizations or income institutions around the globe are paid 4 more and are p...

In worldwide, we are familiar with a common term known as BMI(Body Mass Index) which is used as indicator of our health condition. But, to know the actual health condition of a human, the most common BMI calculator which only measures the height and weight of a person is not sufficient enough. Considering this type of problem we developed a system...

Traditional methods of reaching consensus in monetary systems depend on centralized authorities that are considered trustworthy. Blockchain challenges the traditional model by establishing consensus through a decentralized network of peers, which is responsible for validating transactions and preserving a chronologically ordered ledger of transacti...

In the modern world, learning is becoming increasingly critical due to rapid technological breakthroughs, which highlight the need for continuous skill development in both the personal and professional spheres. As a result, eLearning is a cutting-edge approach to education that delivers lessons, courses, and instructional materials remotely via dig...

Prostate cancer diagnosis is a critical area in oncology where accurate and timely identification of malignancy is imperative for effective treatment. In this paper, we propose an approach that integrates BERT (Bidirectional Encoder Representations from Transformers) embeddings with SVM for the task of prostate cancer diagnosis. Leveraging BERT's a...

In the face of a burgeoning global population exceeding seven billion and dwindling agricultural land, plants remain pivotal for sustaining human civilization's food needs. However, plant health is threatened by various diseases, particularly leaf ailments like spots, bacterial infections, and black spots. These afflictions, predominantly caused by...

The prediction of building energy consumption is beneficial to utility companies, users, and facility managers to reduce energy waste. However, due to various drawbacks of prediction algorithms, such as, non-transparent output, ad hoc explanation by post hoc tools, low accuracy, and the inability to deal with data uncertainties, such prediction has...

A brain tumor is a dangerous condition that can be challenging to reliably identify using conventional techniques, such as by looking at MRI scans. To solve this problem, our convolutional neural network (CNN) and transfer learning models were developed to distinguish between the three types of brain cancers that are most frequently found: gliomas,...

A brain tumor is a dangerous condition that can be challenging to reliably identify using conventional techniques, such as by looking at MRI scans. To solve this problem, our convolutional neural network (CNN) and transfer learning models were developed to distinguish between the three types of brain cancers that are most frequently found: gliomas,...

Stroke is a disease that affects the arteries leading to and within the brain. Detecting stroke early and conveniently is much more difficult as there is no portable system to detect it. Most of the time the expensive diagnosis method of stroke is out of reach for low- and middle-income countries like ours. Hence, there is a significant necessity f...

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that affects millions of individuals worldwide, causing severe cognitive decline and memory impairment. The early and accurate diagnosis of AD is crucial for effective intervention and disease management. In recent years, deep learning techniques have shown promising results in me...

The Industrial Internet of Things (IIoT) promises automation, efficiency, and data-driven decision-making by real-time data collection and analysis. However, traditional IIoT architectures are cloud-centric and, therefore, struggle to handle large volumes of data, edge bandwidth constraints, and data confidentiality. Distributed edge-to-cloud compu...

Decentralized identification is an interesting topic for Internet-based systems. Although the use of centralized systems for identification is prevalent, there is still a need for decentralized identification systems that do not rely on a centralized entity. We propose using Distributed Ledger Technology (DLT) to fulfill the needs. Although DLT and...

Student engagement refers to the level of involve-ment, interest, attention, and active participation that studentsdemonstrate during their learning experiences. As the engage-ment rate increases the learning rate, teachers always try to mea-sure the engagement rate in the classroom in various ways.Thispaper introduces a multimodal approach for det...

Alzheimer’s disease (AD) is a progressive and irreversible neurological disorder that affects millions of people worldwide. Early detection and accurate diagnosis of AD are crucial for effective treatment and management of the disease. In this paper, we propose a transfer learning-based approach for the diagnosis of AD using magnetic resonance imag...

Alzheimer’s disease is the most common type of dementia and the sixth highest cause of mortality among people over 65. Also, according to statistics, the number of deaths from Alzheimer’s disease has increased dramatically. As a result, early detection of Alzheimer’s disease can improve patient survival chances. Machine learning methods using magne...

Schizophrenia is a severe neurological disease where a patient’s perceptions of reality are disrupted. Its symptoms include hallucinations, delusions, and profoundly strange thinking and behavior, which make the patient’s daily functions difficult. Despite identifying genetic variations linked to Schizophrenia, causative genes involved in pathogene...

Bone is the most important part of our body which holds the whole structure of human body. The long bone situated in the upper arm of human body between the shoulder and elbow junction is known as “Humerus”. Humerus works as a structural support of the muscles and arms in the upper body which helps in the movement of the hand and elbow. Therefore,...

Internet of things (IoT) is a process of inter-networking of constitutional design, vehicles (also referred to as “connected devices” and “smart devices”), and various objects—included with software, electronics, actuators, sensors, and internetwork connectivity which is used to gather and interchange of data and information. IoT can control object...

Coronavirus Disease 2019 (COVID-19) emerged towards the end of 2019, and it is still causing havoc on the lives and businesses of millions of people in 2022. As the globe recovers from the epidemic and intends to return to normalcy, there is a spike of anxiety among those who expect to resume their everyday routines in person.The biggest difficulty...

Colorectal Cancer (CRC) is a form of cancer that develops in the colon or rectum. It is also referred as bowel cancer, colon cancer, or rectal cancer. CRC has become the second most prevailing sort of cancer in the human race. But CRC until now remains linked to a poor diagnosis in patients with severe illness. The concern for early detection drew...