Volume 12 | Issue 5 |

 Abstract

Abstract - In recent years, with the development and use of big data, deep learning has begun to attract more and more attention. Convolutional neural network, a deep learning neural network, plays an important role in facial image recognition. This paper combines convolutional neural networks' knowledge of micro interpretation technology with an automatic music recognition algorithm to create patterns that recognize micro faces, speak, and recommend music based on your mood. The facial micro expression recognition model developed in this article uses FER 2013 and the recognition rate is 62.1%. After determining the similarity, the content-based music recognition algorithm was used to extract the feature vector of the song, and the cosine similarity algorithm was used for music recognition. This research helps improve the effectiveness of music recognition, and r elated results can also be applied to the use of music recognition in areas such as emotion regulation. Keywords: deep learning, face macro recognition, CNN, FER2013, CB, music recommendation algorithm

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 Keywords

Music Recommendation System based on Facial Expression and Speech

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Healthcare Chatbot for Hospital Management System utilizing the Dialogflow Framework represents a groundbreaking initiative poised to revolutionize the landscape of healthcare services within hospital settings. Using the stateof- the-art natural language processing capabilities built into the Dialogflow framework, this creative chatbot acts as a smart intermediate, significantly improving hospital administration systems' effectiveness, accessibility, and efficiency. At its core, this chatbot is a beacon of technological advancement, seamlessly integrating with existing hospital infrastructures to optimize a myriad of essential functions. From facilitating the intricate dance of appointment scheduling, rescheduling, and cancellations to orchestrating the symphony of patient flow management, this intelligent interface redefines the boundaries of administrative efficiency. Patients, the beating heart of any healthcare system, are empowered like never before through this transformative tool. Administrative burdens, once perceived as insurmountable obstacles, are effortlessly navigated with the assistance of this intelligent chatbot. Billing inquiries, insurance verification processes, and admission procedures are executed with unparalleled efficiency, freeing up valuable time and resources for more meaningful engagements. The result is a harmonious convergence of technology and humanity, where the intricacies of healthcare management are transformed into opportunities for seamless collaboration and compassionate care.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Chatbot, Healthcare, Dialogflow, hospital management system, Natural Language Processing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Due to the large quantum of information, it's delicate for croakers to directly descry the symptoms of the complaint and make an early opinion of the complaint. There are two ways to determine whether a specific complaint is present in the case's body. It takes a lot of time manually. Using machine literacy algorithms makes our job easier. thus, each contagion has its own specific uses. There's no universal system or practice for prognosticating colorful conditions. thus, the proposed system has an operation that can prognosticate numerous conditions with the help of stoner input. Algorithms used in the proposed system; support vector machines, logistic retrogression, decision trees and KNN algorithms. The results presented by the system are in double format similar as" yes" or" no"

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 Keywords

Heart Disease, Diabetes, Parkinsons Prediction Machine Learning, accuracy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Content-Based Image Retrieval (CBIR) has witnessed significant advancements with the emergence of deep learning techniques. However, traditional CBIR systems often rely solely on visual features extracted from images, overlooking other modalities that can enrich the retrieval process. In this paper, we propose a multi-modal deep learning framework for CBIR that integrates information from different modalities to enhance retrieval performance. Our approach combines visual features extracted from Vision Video Graphics (VVGs) with textual descriptions or other modalities associated with images.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Deep learning, VVG,Similarity measures, Semantic gap, Semantic Embeddings , Multi-modal Fusion.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With the increasing number of vehicles on city streets, finding parking spaces has become increasingly difficult. This leads to drivers spending more time and fuel circling streets in search of parking, contributing to city congestion. To address this issue and align with the trend of developing smart cities, various techniques used by smart parking systems are being evaluated. One such technique involves a mobile sensing unit attached to vehicles, which measures the distance to the nearest roadside obstacle and utilizes supervised learning algorithms to estimate parking occupancy. This system's accuracy is significantly improved when coupled with precise GPS readings and map matching techniques. Furthermore, the adoption of smart parking systems not only enhances convenience for drivers but also promotes environmental sustainability by reducing unnecessary fuel consumption and emissions. By optimizing parking space utilization, smart cities can effectively alleviate traffic congestion and improve the overall quality of urban life.

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 Keywords

vehicles, parking spaces, city streets, congestion, smart cities, smart parking systems, mobile sensing unit, supervised learning algorithms, GPS readings, map matching techniques, convenience, environmental sustainability, fuel consumption, emissions, traffic congestion, urban life.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In modern healthcare, the emphasis is on promoting self-care and prioritizing patient autonomy over solely relying on therapy. Medication management plays a crucial role in comprehensive healthcare, and medication administration errors lead to significant financial losses each year. To combat these issues, the local app "Seeb" was developed to help Iranians manage their medications efficiently. Concurrently, the app "Medi-Track" was created using the Flutter framework for cross-platform mobile development and integrates Firebase for backend support. Medi-Track provides users with the ability to add their medications, schedule reminders, and track health records, thus streamlining medication management. The app extends beyond medication tracking by serving as a health journal for users to record key health information. Medi-Track aims to enhance efficiency and support individuals by transforming innovative healthcare concepts into practical applications.

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 Keywords

Statistically tracked particle swarm optimization (STPSO), Group statistical characteristics, Deregulated automatic generation control

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Self-care is given precedence over therapy in comprehensive healthcare, which acknowledges the need of drug therapy, particularly in the field of medicine. The annual financial expenditures associated with prescription administration errors led to the creation of the Iranian medication reminder app, "Seeb," locally. In addition, "Medi- Track" functions as a mobile application with Firebase support for backend operations, leveraging the Flutter framework for cross-platform development. Medi-Track makes medication management easier by enabling users to add medications, set reminders, and keep track of their health information. In addition to managing appointments and renewals, it serves as a health journal where users can record important medical information. The Main Objectives of Medi-Track is to use technology to turn innovative healthcare concepts into workable realities while maximizing efficiency and helping individuals.

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 Keywords

Medication Management, Mobile Health Application, Digital Health, Health Tracking, Patient Empowerment, Medication Reminder, Health Informatics.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's world social media platforms like Twitter is facing a growing challenge with the increase in the number of malicious Twitter bots. The increase of the malicious Twitter bots poses a significant threat to the social media platforms authenticity and trustworthiness. The detection and reduction in the influence of these bots is a critical challenge, as these bots spread false information, manipulate the public opinion and may also engage in fraudulent activities, eating away the trust in the online spaces. This review paper presents diverse analysis of the current landscape of detecting the malicious twitter bots using the URL analysis technique and advanced machine learning techniques. The paper explores the use of machine learning models and algorithms, to classify and identify these bots based on the URL patterns and their behavior.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Malicious Twitter bots, URL analysis, Machine learning, URL patterns

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Therapeutic diagnostics fantastically advantage from the mechanized classifying of white corpuscle into WBC and blood cells from little blood spread pictures, which makes it easier to recognize assorted blood afflictions. The objective of this wander is to utilize picture examination to isolate between rosy blood cells (erythrocytes) and white blood cells (leukocytes) utilizing machine learning strategies. Preprocessing the blood spread pictures to make strides differentiate and expel commotion is the to begin with step in the proposed technique. Taking after that, highlights such as shape, surface, and color data are extricated from the photographs utilizing highlight extraction methods. A assortment of machine learning procedures, such as choice trees, convolutional neural systems (CNNs), and back vector machines (SVMs), utilize these extricated highlights as inputs. This investigate propels robotized frameworks for blood cell categorization by utilizing these strategies. These frameworks have the potential to be utilized in clinical diagnostics, pathology investigation, and therapeutic investigate, giving healthcare specialists with valuable instruments for exact and compelling ailment observing and determination.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Image Preprocessing, Convolutional Neural Networks (CNNs), Data Augmentation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the present circumstances, examinations can be classified into two distinct categories: objective and subjective. Competitive exams typically fall into the format of multiple choice questions, which require them to be administered and evaluated on computer screens. At present, most competitive examinations are being held online because of the high volume of students taking part in them. Nevertheless, subjective assessments like board exams are not suitable for computer-based administration. It is essential to incorporate Artificial Intelligence (AI) into our online examination systems. The integration of AI in the management of online exams would significantly streamline the assessment of subjective responses. Moreover, this approach would result in faster and more accurate results. Our proposed system would be carefully designed to replicate the marking process carried out by human evaluators. As a result, this system would be extremely valuable to educational institutions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Automated answer verifier, answer verifier, theory answer checker, matching answers.

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Creative Commons Attribution 4.0 and The Open Definition