Karl Andersson

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

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...

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...

The novel coronavirus disease (COVID-19) pandemic is provoking a prevalent consequence on mental health because of less interaction among people, economic collapse, negativity, fear of losing jobs, and death of the near and dear ones. To express their mental state, people often are using social media as one of the preferred means. Due to reduced ou...

Multi-access Edge Computing (MEC) is a standard network architecture for edge computing, which is proposed to handle enormous computation demands from emerging resource-intensive and latency-sensitive applications and services as well as accommodate Quality of Service (QoS) requirements for ever-growing users through computation offloading. Since t...

User identification in decentralized systems is a demanding task. Identification systems should work resiliently and have efficient performance. Moreover, identification systems should protect the data that they must store against hackers and saboteurs. Keeping a system with decentralized identification without any intervention in the middle has at...

Schizophrenia is a serious mental disorder which makes a patient abnormal than other patient thinks he is not there and everyone is for his enemy. As a result, it is so much important to detect the disease at an early stage. If we can detect the disease at an early stage, we can make the patient’s life normal. CNN (Convolutional Neural Network) -ba...

Human civilization is completely reliant on plants to provide our dietary needs. Despite having a population of over seven billion people that is rapidly expanding, our cultivable land has declined rather than increased. Plants, on the other hand, are susceptible to a variety of illnesses. Leaf disease, which comprises leaf spots, bacterial spots,...

In the age of modern technology peoples are still facing a great challenges to manage and monitor the infected patients of COVID-19. Many systems have been implemented to track the location of infected person to reduce the spread of diseases. In today’s world IoT with the health care system plays an important role specially in this COVID situation....

For the study issue of abusive language detection, English is the most commonly employed language. There are just a few works accessible in low-resource languages such as Bangla. People use these sorts of statements on many social media sites. As a result, detection of this type of language is a demand of time. Our goal is to identify this abusive...

Brain tumor is one of the most hazardous disease that leads a man to gradual death. To ensure proper and effective treatment, this is very important to detect the brain tumor and predict this as cancerous or non-cancerous. Radiologists have shown interest to detect brain tumor and its category analyzing the MRI (Magnetic Resonance Image) of brain....

Early prediction of whether a product will go to backorder or not is necessary for optimal management of inventory that can reduce the losses in sales, establish a good relationship between the supplier and customer and maximize the revenues. In this study, we have investigated the performance and effectiveness of tree based machine learning algori...

COVID-19 is tumultuous creating our life so unpredictable. There has no solution of this contagious disease rather than vaccination and prevention. The first and foremost preventative step is using face masks. Face mask can hindrance its droplet from one to another. So this paper has focused the detection of facial mask from image processing using...

Now a days transfer of gigantic amount of information in an accurate format is a big problem. Storage is needed to store all this information is limited to be calculated before sending data over the internet. The intercommunication path which is also determinate with limited and restricted communication lines. This restriction driven to necessity o...

Everybody plans vacations, and the first step in that process is to book a hotel. With the hospitality sector being so competitive, it’s critical to maintain best practices and stay on top of client demands and wants. They want individualized experiences, one-of-a-kind amenities, and a general sense of well-being on all levels. A consumer of a hote...

Image retrieval and compression are rigorous research field to solve the problem of storage and management of digital image. Several digital compression techniques are available for digital compression such as lossy and lossless compression methods. JPEG, an international organization issues an effective digital image compression standard. CBIR sys...

For the study issue of abusive language detection, English is the most commonly employed language. There are just a few works accessible in low-resource languages such as Bangla. People use these sorts of statements on many social media sites. As a result, detection of this type of language is a demand of time. Our goal is to identify this abusive...

One of the most vital parts of medical image analysis is the classification of brain tumors. Because tumors are thought to be origins to cancer, accurate brain tumor classification can save lives. As a result, CNN (Convolutional Neural Network)-based techniques for classifying brain cancers are frequently employed. However, there is a problem: CNNs...

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...

Medical imaging is essential in a variety of medical applications, like medical treatments had been used for early identification, tracking, prognosis, and diagnosis testing of different medical problems. Machine learning is critical in the field of image processing and computer vision. Machine learning (ML) techniques are used to analyze informati...

Underwater robots, also known as autonomous underwater vehicles (AUVs), are amazing machines that are becoming increasingly important in a variety of disciplines, including sea environment exploration, data collection (for climate change), industry, and the military. Wireless nodes and relay nodes are randomly distributed and incorrectly selected,...

Alzheimer’s disease (AD) is a degenerative neurological disease that is the most common cause of dementia. It is also the fifth-greatest reason for death in adults aged 65 and over. However, there is no accurate way of diagnosing neurological Alzheimer’s disorders in medical research. Blood gene expression analysis offers a realistic option for ide...

Artificial intelligence has achieved notable advances across many applications, and the field is recently concerned with developing novel methods to explain machine learning models. Deep neural networks deliver the best performance accuracy in different domains, such as text categorization, image classification, and speech recognition. Since the ne...

Price prediction of financial assets has been a key interest for researchers over the decades. But since a model loses its credibility once a large number of traders start using the same technique. Therefore, the traders are in continuous search of new and efficient prediction techniques. In this research, we proposed a novel machine learning techn...

Accurate monitoring of air quality can reduce its adverse impact on earth. Ground-level sensors can provide fine particulate matter (PM2.5) concentrations and ground images. But, such sensors have limited spatial coverage and require deployment cost. PM2.5 can be estimated from satellite-retrieved Aerosol Optical Depth (AOD) too. However, AOD is su...

Leukemia, which is caused by the excessive and aberrant reproduction of white blood cells, completely destroys the immune system of our body and leads to death. Among four different types of leukemia, the progress of acute lymphocytic leukemia is rapid and becomes fatal even in weeks if it is kept untreated. So, early diagnosis of ALL is quite nece...

The novel Coronavirus-induced disease COVID-19 is the biggest threat to human health at the present time, and due to the transmission ability of this virus via its conveyor, it is spreading rapidly in almost every corner of the globe. The unification of medical and IT experts is required to bring this outbreak under control. In this research, an in...

Automatic real-time emotion recognition based on GSR and ECG signals becomes an effective computer-aided tool for emotional recognition as a challenge to pattern recognition. Traditional machine learning methods require the development and extraction of various features dependent on extensive domain knowledge. As a result, non-domain experts can fi...

Glaucoma is a retinal condition caused by increasing intraocular pressure inside the eye. It is called a silent killer disease because the damage caused by this is un-rectifiable, and the consequence is inevitable blindness if it is left untreated. Ophthalmologists diagnose glaucoma through a number of retinal tests, which include ophthalmoscopy, t...

The enormous use of facial expression recognition in various sectors of computer science elevates the interest of researchers to research this topic. Computer vision coupled with deep learning approach formulates a way to solve several real-world problems. For instance, in robotics, to carry out as well as to strengthen the communication between ex...

The global epidemic of the coronavirus COVID-19 is wreaking havoc on the world’s health and according to the World Health Organization (WHO), using a face mask in crowded locations is among the most common security practices. An artificial neural network for face mask classification utilizing deep learning will be introduced in this research. As th...

With the alarming rate of increase in chronic kidney disease (CKD) cases all over the world, researchers are trying to resolve it with state-of-the-art methods. It is evident that in a certain time period such disease gradually disrupts other organs functioning eventually causing death of patients. Early detection of CKD can diminish the chances of...

In recent years, heart disease has been the cause of one out of every three human deaths. This emphasizes the critical importance of predicting heart diseases as early as possible in order to improve diagnosis chances. Researchers have been pushing the boundaries of machine learning to achieve the most accurate prediction result in order to make th...

Video conferencing applications help people communicate via the Internet and provide a significant and consistent basis for virtual meetings. However, integrity, security, identification, and authentication problems are still universal. Current video conference technologies typically rely on cloud systems to provide a stable and secure basis for ex...

‘An epileptic seizure’, a neurological disorder, occurs when electric burst travel over the brain, causing the person to lose control or consciousness. Anticipating epilepsy when the event happen is beneficial for epileptic control with medication or neurological pre-surgical planning. To detect epilepsy using electroencephalogram (EEG) data, machi...

Brain tumor, commonly known as intracranial tumor, is the most general and deadly disease which leads to a very short lifespan. It occurs due to the uncontrollable growth of cells which is unchecked by the process that is engaged in monitoring the normal cells. The survival rate due to this disease is the lowest and consequently the detection and c...

Decentralization is essential when trust and performance must not depend on a single organization. Distributed Ledger Technologies (DLTs) and Decentralized Hash Tables (DHTs) are examples where the DLT is useful for transactional events, and the DHT is useful for large-scale data storage. The combination of these two technologies can meet many chal...

This paper presents a non-intrusive system for detecting driver fatigue in real-time. To determine the level of fatigue the system uses various visual features, namely head nodding, eye closure duration and yawning. A state-of-the-art facial landmark detector 'IntraFace' has been adopted to determine the eye state, mouth state and head pose estimat...

It is widely accepted that human activities largely contribute to global emissions and thus, greatly impact climate change. Awareness promotion and adoption of green transportation mode could make a difference in the long term. To achieve behavioural change, we investigate the use of a persuasive game utilising online transportation mode recognitio...

Parkinson’s disease (PD) is a kind of neurodegenerative disorder characterized by the loss of dopamine-producing cells in the brain. The disruption of brain cells that create dopamine, a chemical that allows brain cells to connect with one another, causes Parkinson’s disease. Control, adaptability, and rapidity of movement are all controlled by dop...

Parkinson’s disease (PD) is a neurological illness that occurs by the degeneration of cells in the nervous system. Early symptoms include tremors or involuntary movements of the hands, arms, legs, and jaw. Currently, the only method to diagnose PD involves the observation of its prodromal symptoms. Moreover, detecting handwriting will work as a var...

Parkinson’s disease is a neurological disorder. It affects the structures of the central and peripheral nervous system that control movement. One of the symptoms of Parkinson’s disease is difficulty in speaking. Hence, analysis of speech signal of patients may provide valuable features for diagnosing. Previous works on diagnosis based on speech dat...

Perkinson’s disease is a progressive degenerative disorder that comes from a recognized clinical parkinsonian syndrome. The manifestations of Parkinson’s disease include both motor and nonmotor symptoms identified as tremor, bradykinesia (slowed movements), rigidity, and postural instability. PD is marked as one of the most prevalent disorders from...

Alzheimer’s disease, an incurable chronic neurological disorder (NLD) that affects human memory and demises cognitive thinking ability with shrinkage of the brain area. Early detection of Alzheimer’s disease (AD) is the only hope to delay its effect. This study designed a computer-aided automated detection method that can detect mild cognitive impa...

Investors in the stock market have always been in search of novel and unique techniques so that they can successfully predict stock price movement and make a big profit. However, investors continue to look for improved and new techniques to beat the market instead of old and traditional ones. Therefore, researchers are continuously working to build...

Identifying people's ages and events by the use of gait information is a popular issue in our daily applications. The most popular application is health, security, entertainment and charging. A variety of algorithms for data mining and deep learning have been proposed. Many different technologies may be used to keep track of people's ages and behav...

Glaucoma detection is an important research area in intelligent system and it plays an important role to medical field. Glaucoma can give rise to an irreversible blindness due to lack of proper diagnosis. Doctors need to perform many tests to diagnosis this threatening disease. It requires a lot of time and expense. Sometime affected people may not...

Snakes are curved, limbless, warm blooded reptiles of the phylum serpents. Any characteristics, including head form, body shape, physical appearance, texture of skin and eye structure, might be used to individually identify nonvenomous and venomous snakes, that are not usual among non-experts peoples. A standard machine learning methodology has als...

Human gender detection which is a part of facial recognition has received extensive attention because of it’s different kind of application. Previous research works on gender detection have been accomplished based on different static body feature for example face, eyebrow, hand-shape, body-shape, finger nail etc. In this research work, we have pres...

Visual sentiment analysis has become more popular than textual ones in various domains for decision-making purposes. On account of this, we develop a visual sentiment analysis system, which can classify image expression. The system classifies images by taking into account six different expressions such as anger, joy, love, surprise, fear, and sadne...

Particle Swarm Optimization (PSO) is a meta-heuristic algorithm which is successfully applied to enormous applications to solve non-linear and complex high-dimensional optimization problems. The performance of PSO is greatly influenced by the tuning parameters. Due to the presence of uncertainty or noise in the optimization problem of different dom...

Accurate and rapid identification of the severe and non-severe COVID-19 patients is necessary for reducing the risk of overloading the hospitals, effective hospital resource utilization, and minimizing the mortality rate in the pandemic. A conjunctive belief rule-based clinical decision support system is proposed in this paper to identify critical...

“AI for Sustainability and Innovation” aims to support GESI’s Smarter2030 initiative and the UN’s Sustainable Development Goals in order to contribute to a sustainable future. This theme encompasses theoretical and applied research to address challenges relating to society and human needs (SDG2 Zero Hunger: autonomous machines, smart, and precision...

An earthquake is a tremor felt on the surface of the earth created by the movement of the major pieces of its outer shell. Till now, many attempts have been made to forecast earthquakes, which saw some success, but these attempted models are specific to a region. In this paper, an earthquake occurrence and location prediction model is proposed. Aft...

A novel coronavirus (COVID-19), which has become a great concern for the world, was identified first in Wuhan city in China. The rapid spread throughout the world was accompanied by an alarming number of infected patients and increasing number of deaths gradually. If the number of infected cases can be predicted in advance, it would have a large co...

Sustainability and sustainable development are emerging trends all over the world. The need for changes is evident and immediate. To tackle all the technical and social sustainability challenges, people need to be educated. To date, computer science and software engineering education has not fully answered to this need. This chapter presents a sust...

The identification of people’s gender and events in our everyday applications by means of gait knowledge is becoming important. Security, safety, entertainment, and billing are examples of such applications. Many technologies could also be used to monitor people’s gender and activities. Existing solutions and applications are subject to the privacy...

Researchers around the world are now focused on to make our devices more interactive and trying to make the devices operational with minimal physical contact. In this research, we propose an interactive computer system which can operate without any physical keyboard and mouse. This system can be beneficial to everyone, especially to the paralyzed p...

Mosquitoes are responsible for the most number of deaths every year throughout the world. Bangladesh is also a big sufferer of this problem. Dengue, malaria, chikungunya, zika, yellow fever etc. are caused by dangerous mosquito bites. The main three types of mosquitoes which are found in Bangladesh are aedes, anopheles and culex. Their identificati...

Recommendation system can predict the ratings of users to items by leveraging machine learning algorithms. The use of recommendation systems is common in e-commerce websites now-a-days. Since enormous amounts of data including users’ click streams, purchase history, demographics, social networking comments and user-item ratings are stored in e-comm...

Emojis are like small icons or images used to express our sentiments or feelings via text messages. They are extensively used in different social media platforms like Facebook, Twitter, Instagram etc. We considered hand-drawn emojis to classify them into 8 classes in this research paper. Hand-drawn emojis are the emojis drawn in any digital platfor...

Skin cancer is one of the most lethal of all cancers. When it is not diagnosed and handled at the beginning, it is supposed to extend to other areas of the body. It also occurs while the tissue is revealed to light from the sun, mainly due to the rapid development of skin cells. For early detection, a dependable automated system for skin lesion rec...

The Covid-19 disease which was caused by novel coronavirus (SARS-CoV-2) has already become a great threat for humans beings. The virus is spreading rapidly around the world. Therefore, we crucially need quick diagnostic tests to identify affected patients and to minimize the spread of the virus. With the advancements of Machine Learning, the detect...

In accordance with the World Health Organization’s instruction, the air quality in Bangladesh is considered perilous. A productive and precise air quality index (AQI) is a must and one of the obligatory conditions for helping the society to be viable in lieu of the consequences of air contamination. If we know the index of air quality in advance, t...