Data mining has applications for a wide range of enterprises, including those in the banking, telecommunications, energy, medical, marketing, and finance industries. The real-world situations involve noisy, unpredicta...
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This research study introduces Alfred, a novel open-source Autonomous Mobile Robot (AMR) platform and a physical testbed that enables the integration of virtual scenarios. This system allows for the development and ev...
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Determining gender using offline handwriting is an applied research problem in forensics, psychology and security applications. This task becomes challenging and tedious due to interpersonal and intrapersonal differen...
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Advances in blockchain technologies enable society toward trust-based applications. Smart contracts are the scripts holding the properties to perform the activities in Blockchain. Smart contracts are prepared between ...
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Cyber security is the safest way to protect the data from hackers and unauthorized users. Healthcare technologies nowadays face lots of cyber security issues related with the security of the health information and pri...
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Molecular Dynamics (MD) simulations provide qualitative insights into the dynamics of liquids, solids, and liquid–solid interfaces under varying temperature and pressure conditions. Accurate force calculations for io...
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Climate change represents one of the most important challenges facing humanity, and its implications extend to 2099 and beyond. However, detailed and applicable weather forecasts over many centuries are rare. This pap...
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Epilepsy, a neurological disorder characterized by recurrent and unpredictable seizures, demands timely and accurate detection for effective management and patient safety. While traditional machine learning approaches...
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Sentiment analysis is the most effective way to understand opinions presented in digital media. Social sense is the concept of understanding every user's emotions connected through an online social media platform....
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Sentiment analysis is the most effective way to understand opinions presented in digital media. Social sense is the concept of understanding every user's emotions connected through an online social media platform. This emotion helps to understand the mental health of people. Every stage of extracting social impact contains several problems with several methods associated with it, like lexicon-based techniques, which were proposed, developed, and evaluated but sometimes had poor accuracy. Machine Learning (ML) is useful to recognize patterns, in various aspects of sentiment analysis and it will best suited for this traditional algorithm where the large dataset is chunked into the smaller dataset to train the model. NLP methods do not account for different domains when modeling sentiment information. In a classification dilemma, reducing the feature set size diminishes the algorithm's time demand while improving the method's accuracy to obtain the optimal features. Scalability refers to handling large amounts of data and performing several computations like time and cost efficiently. This paper's perspective is to overcome the shortcomings of each system, and this article proposes a hybrid approach to sentiment analysis. Data has been collected from Twitter via the Twitter API. This research investigates the effects of negations, URLs, usernames, punctuation, repeated character normalization, and hashtags on sentiment classification output using an n-gram representation model, which is a kind of probabilistic language model and also integrates a cross-domain sentiment-aware learning model that can collect both sentiment awareness and domain validity of a word simultaneously to solve the problem of words from various domains. To fix the scalability problem, the article offers the novel Tunicate Swarm Algorithm (TSA), which increases scalability and reduces computation time. Meanwhile, this paper custom a hybrid Harris Hawks Optimization (HHO) algorithm based on simulat
Today we can no longer imagine our lives without a vehicle for any means of transportation. They play a very important role in everyone's life. But as their importance in our lives grows, so does the fraud and ant...
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