The Monkeypox outbreak has emerged as a pressing global health challenge, evidenced by rising cases across nations. Individuals afflicted exhibit diverse dermatological symptoms that risk further transmission via contamination. Our study assessed the efficacy of three modified transfer learning models (M-VGG16, M-ResNet50, M-ResNet101) alongside vision transformers (ViT) four investigations. We achieved high accuracy in discriminating cases, with M-VGG16 achieving 88%, 76%, and 77% Studies...

Sentiment analysis is one of the most researched areas for every language. Due to rise AI, use speech in sector rapidly growing so importance Speech Analysis. Despite being seventh spoken language world, Bengali sentiment studies are not much enriched. This study compared using machine learning and CNN, LSTM, Bi-LSTM models. We have used SUBESCO BanglaSER datasets training our models where KNN model outperformed other with an accuracy 90%. Later, we evaluated performance custom-made test...

Unmanned Aerial Vehicles (UAVs) have transformed the process of data collection and analysis in a variety research disciplines, delivering unparalleled adaptability efficacy. This paper presents thorough examination UAV datasets, emphasizing their wide range applications progress. datasets consist various types data, such as satellite imagery, images captured by drones, videos. These can be categorized either unimodal or multimodal, offering detailed comprehensive information. play crucial...

Transformative developments have been brought in across several industries. Digital twin technologies are one of them. This revolutionary innovation has enhanced efficiency, optimized production, and elevated product design to new heights. Nevertheless, as industries embrace the potential digital twins, cybersecurity concerns come forefront due convergence physical virtual realms. By addressing challenges effectively, can fully capitalize on transformative capabilities technology, driving...

People are expressing their opinions online for a lot of years now. Although these and comments provide people an opportunity views, there is hate speech that can be found online. More specifically, sexist very popular affecting creating negative impact on women girls This paper describes the approaches SemEval-2023 Task 10 competition Explainable Online Sexism Detection (EDOS). The task has been divided into 3 subtasks, introducing different classes comments. We have approached tasks using...

Artificial intelligence (AI) is not a fancy term anymore, or limited to only researchers and academia. AI currently becoming part parcel of our daily life, we are using AI/ intelligent systems by knowing without knowing. Event product manufacturers also trying incorporate with their products make it more preferable consumers get the full benefit in production control units even for business decisions. Therefore, In paper, give comprehensive survey recent advances Computational industrial...

Knee Osteoarthritis (KOA) poses a significant global health challenge, impacting substantial population. The conventional detection process involves multiple tests and meticulous examination by experienced physicians, which is time-consuming susceptible to misclassification due subtle variations in X-ray images. Additionally, privacy concerns hinder the sharing of sensitive data like X-rays. This study employs Federated Learning with pre-trained architectures (DenseNet-169, Inception-v2,...

The field of sentiment and emotion analysis is a challenging problem that has received research attention. complexity recognition draws from variability in expression, cultural individual differences, context dependency, etc. This work takes an exploratory approach to the by performing extensive classification using machine learning (ML) applied textual auditory data sources. We create pipeline facilitates examination inputs, resulting more reliable emotional classification. study uses...

The black-box nature of Convolutional Neural Networks (CNNs) and their reliance on large datasets limit use in complex domains with limited labeled data. Physics-Guided (PGNNs) have emerged to address these limitations by integrating scientific principles real-world knowledge, enhancing model interpretability efficiency. This paper proposes a novel CNN (PGCNN) architecture that incorporates dynamic, trainable, automated LLM-generated, widely recognized rules integrated into the as custom...

Over the past few decades, machine learning (ML) has demonstrated significant advancements in all areas of human existence. Machine and deep models rely heavily on data. Typically, basic (DL) receive input data its matching output. Within model, these generate rules. In a physics-guided output rules are provided to optimize model’s learning, hence enhancing loss optimization. The concept neural network (PGNN) is becoming increasingly popular among researchers industry professionals. It been...

Unmanned Aerial Vehicles (UAVs), have greatly revolutionized the process of gathering and analyzing data in diverse research domains, providing unmatched adaptability effectiveness. This paper presents a thorough examination Vehicle (UAV) datasets, emphasizing their wide range applications progress. UAV datasets consist various types data, such as satellite imagery, images captured by drones, videos. These can be categorized either unimodal or multimodal, offering detailed comprehensive...

Unmanned Aerial Vehicles (UAVs), have greatly revolutionized the process of gathering and analyzing data in diverse research domains, providing unmatched adaptability effectiveness. This paper presents a thorough examination Vehicle (UAV) datasets, emphasizing their wide range applications progress. UAV datasets consist various types data, such as satellite imagery, images captured by drones, videos. These can be categorized either unimodal or multimodal, offering detailed comprehensive...

Data scarcity in medical imaging poses significant challenges due to privacy concerns. Diffusion models, a recent generative modeling technique, offer potential solution by generating synthetic and realistic data. However, questions remain about the performance of convolutional neural network (CNN) models on original datasets. If diffusion-generated samples can help CNN perform comparably those trained datasets, reliance patient-specific data for training CNNs might be reduced. In this...

The global tourism business is expanding as more people travel and visit new locations both abroad locally. Cox's Bazar the longest natural unbroken sea beach in world situated Bangladesh accommodating millions of foreign local tourists every year. This has been a very popular destination with various activities beautiful attraction spots. There are numerous trip packages available for travelers to choose from. Compared large number tour found online this at present, paper proposes...

<p>Artificial intelligence (AI) is not a fancy term anymore, or limited to only researchers and academia. AI currently becoming part parcel of our daily life, we are using AI/ intelligent systems by knowing without knowing. Event product manufacturers also trying incorporate with their products make it more preferable consumers get the full benefit in production control units even for business decisions. Therefore, In paper, give comprehensive survey recent advances Computational...

<p>Artificial intelligence (AI) is not a fancy term anymore, or limited to only researchers and academia. AI currently becoming part parcel of our daily life, we are using AI/ intelligent systems by knowing without knowing. Event product manufacturers also trying incorporate with their products make it more preferable consumers get the full benefit in production control units even for business decisions. Therefore, In paper, give comprehensive survey recent advances Computational...

Eyeglasses are not only used to protect our vision and prevent dust from getting into eyes. Additionally, glass that fits properly can give a person an elegant appearance. However, people often find it difficult choose eyeglasses fit their face shape; address this issue, we have proposed novel architecture in paper. In order do this, created pipeline recommend based on the form of eyes using multiple transfer learning predict shape given image. We utilized InceptionV4 [17], InceptionV3[18],...