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Monitoring the health of plants and diagnosing diseases at early stages is an important step to boost agricultural productivity. This project proposes an IoT plant monitoring system that collects images of plants, taking into consideration secondary environmental factors such as soil moisture, temperature,...

Driver fatigue-induced road accidents are one of the primary threats to traffic safety, and this has driven the need for real-time detection systems. A driver drowsiness detection system based on deep learning, machine learning, and computer vision is proposed in this study for improving road safety....

This paper presents the theory behind using AI for big data processing. It considers an artificial neural network designed to make decisions whether to open a position on a SiU9 futures contract; to that end, Spark-based big data processing is applied. It is hypothesized and proven herein that the futures...

The article considered the theoretical basis for the calculation of financial risks, their hedging with the help of artificial intelligence. The article presents a neural network for the assessment of financial risk for atime sequence of VAR-methods with a view to mitigate it when engaging in stock exchange...

Cardiovascular diseases (CVDs) pose a significant worldwide health issue, and early prevention and detection are therefore critical to lowering mor- tality. This heart disease prediction app relies on sophisticated machine learn-ing techniques to assess an individual’s risk level against vital health...

It is important to consider multiple factors, including academic fit, finances, and personal preferences, while deciding to select a university. For this, we propose a hybrid recommendation system that uses Machine Learning (ML) and Natural Language Processing (NLP). Using acceptance rates, tuition fees,...

Since the Efficient Market Hypothesis was proposed by Eugene Fama in 1970, it has been continuously challenged by various market anomalies and financial empirical evidence in the U.S. stock market. Inspired by the reserve effect, the momentum effect and the effect size discovered by De Bondt and Thaler,...

With the rapid development of electronic technology in China, the number of mobile phone users and the likeability of mobile games continue to increase. In the mobile game industry, in order to be among the best, the game producer will use some marketing strategy that helps them to attract more users...

The rapid evolution of malware poses significant challenges for traditional detection methods, necessitating advanced approaches that combine deep learning with effective interpretability techniques. This work combines Long Short Term Memory (LSTM) networks and Generative Adversarial Networks (GANs)...

Cervical spine fractures are critical medical conditions that demand rapid and accurate diagnosis due to their potential to cause severe neurological impairment or death. Traditional diagnostic methods relying on manual radiographic interpretation are often limited by subjectivity and time constraints....

Almost one in six deaths worldwide is due to infection, although the speed and accuracy of conventional diagnostic techniques are limited. Medical image analysis, such as CT and MRI scans, can now be done more quickly and accurately thanks to artificial intelligence (AI), which has become a potent tool...

Object detection is the very backbone of computer vision. Applications surface in autonomous vehicles, healthcare diagnostics, and surveillance systems. All the conventional methods of object detection typically require massive amounts of annotated data and use heavy computation, making it hard to use...

Skin cancer remains one of the most common and life-threatening diseases globally, making early and accurate detection crucial for effective treatment. This study introduces a deep learning-based solution that significantly enhances skin cancer diagnosis. The proposed system employs a Convolutional Neural...

With the high-speed development of China and the arrival of the digital era, the development of the Internet economy, big data and AI not only completely changed the way we production and living, also contributed to the rise of a group of Internet companies. But in the process of economic development...

Career guidance in the modern era faces significant challenges in creating accessible systems that effectively bridge education and employment. While there has been limited research on leveraging artificial intelligence (AI) in this domain, its potential to transform career guidance services in higher...

This literature review emphasizes the importance of early brain tumor detection for improving treatment outcomes and survival rates. It critiques traditional diagnostic methods, such as MRI interpretation by radiologists, which can be slow and prone to errors. The review highlights advancements in artificial...

Sign language is a fundamental mode of communication for the deaf and hard-of-hearing communities, yet real-time automated translation remains a significant challenge due to the complexity of hand gestures, variations in lighting, and differences in signing styles. This study introduces Hand Speak, an...

This project is concerned with real-time emotion recognition from speech using machine learning methods to interpret vocal expressions. The system records audio through a microphone, processes it to extract major prosodic features like pitch, intensity, and tone using the Librosa library, and then classifies...

The proliferation of unstructured medical documents necessitates efficient methods for extracting and analyzing patient symptoms to enhance clinical decision-making. Now-a-days, in medical field clinical coding and symptoms identification are doing manually or they are manual process. This paper presents...

Network administration has been completely transformed by Software-Defined Networking (SDN), which makes it for centralized possible control, programmability, and dynamic resource allocation. However, because it is centralized, it is vulnerable to serious security risks, including DDoS assaults that...

Facial sketching and recognition is a critical crime solving tool in identifying criminal suspects. Conventionally, sketching is done using forensic artists interpreting eyewitness accounts into a drawing, a process prone to being subjective, time-consuming, and highly reliant on artistic skill. In addition,...

Accurate diagnosis of diabetes and particular willpower of insulin dosage are vital for most appropriate management of the circumstance. This research utilizes machine learning, using the Gradient Boosting Classifier to predict diabetes and Logistic Regression to decide insulin dosage. The PIMA Diabetes...

The current development of AI technology, coupled with the outbreak of the COVID-19, has forced people to communicate online, accelerating the migration of the public to the virtual world, and virtual YouTubers have received widespread attention. Looking at the pre-development path of virtual YouTubers,...

At present, science and technology are promoting the reform and innovation of psychological training, our country’s psychological training are also constantly absorbing science and technology, further development, psychological training as one of the entrance education of college students, has a long...

There is an increase in the number of security vulnerabilities in Software Development Lifecycle (SDLC) as the practice of cloud computing expands. The main problem with traditional SDLC models is that they often neglect security and this leaves several threats and vulnerabilities uninspected. Our paper...

Efficient crowd management is crucial for ensuring a seamless user experience, optimizing operations, and minimizing safety risks in public spaces such as malls and transit areas. With the increasing number of pedestrians, issues like overcrowding, stampede-like situations, long queues, inefficient space...

Deep learning has made significant progress in medical imaging by improving diagnostic accuracy. However, processing sensitive patient data on cloud-based platforms introduces major privacy risks. This study introduces a privacy-centric approach to analysing medical images, utilizing learnable encryption...

AI's rapid progress in recent years has revolutionized healthcare, finance, and transportation industries. Its ability to optimize processes and personalize services highlights its transformative potential. This widespread adoption is reflected in Indonesia's rising interest in AI technologies....

Modernity has led to an increasing identification of technology integration in writing classes, particularly the use of artificial intelligence for text generation. This bibliometrics focuses on the harm of text generation, especially the practice of plagiarism. This research uses Preferred Reporting...

Fog computing acts as a vital link between cloud and edge devices, providing low-latency, high-bandwidth, and context-aware services. As the demand for real-time processing increases in IoT, 5G, and AI-enhanced applications, it responds to the drawbacks of centralized cloud models. This document presents...

In this paper by means of interactive concept and interactive technology to propagandize as a focus and searching for intelligent publicity system designing and business model. To design a new interactive media technology based on the research, user friendly and satisfy customers to achieve high conversion...

The digital transformation has redefined the modern library from a passive repository into a dynamic, technology-driven service hub, necessitating a new performance paradigm centered on service quality and user satisfaction. This study aims to systematically review the literature to: (1) identify specific...

Autonomous mobile robots (AMRs) require efficient real-time processing capabilities to navigate dynamic environments. Traditional processors often face challenges in meeting the power and performance demands of AI-based decision-making. This paper presents the design and implementation of an FPGA-based...

The Coronaviruses virus become the most concerned topic nowadays since it is first discovered by people. Whether it is in terms of health or economy, the severity of the Coronaviruses virus brings unprecedented blows to the economies of many countries, but it only has a negative impact on the economy,...

This paper presents the design and implementation of a portable ventilation system with variable pressure per minute, leveraging artificial intelligence for precise respiratory support. The system incorporates sensors such as pressure sensors, flow sensors, and a pulse oximeter (MAX30100) to monitor...

This paper discusses whether the current development of real estate companies is worth investing in. In this study, the company “reAlpha” is used as an example to study whether more advanced technology can help the modern real estate industry get more investment prices. First, the discussion of this...

The rapid evolution of 6G IoT networks demands innovative solutions for energy efficiency, security, and intelligent automation. This paper proposes an AI-driven energy-efficient 6G IoT system integrating TinyML-powered IoT devices, edge computing, blockchain security, and digital twin optimization to...

AI driven work transformation is accelerating in Indonesia’s large cities, yet a persistent conceptual gap remains in explaining why some employees respond with proactive reskilling while others become inhibited by perceived disruption, even when national AI ambitions and organisational training initiatives...

As a new form of business, artificial intelligence creations have attracted wide attention in the academic field. However, due to the cognitive differences of artificial intelligence creations, their nature is confused. In theory, the technical and property aspects of AI creations do not correspond to...

Autonomous robotic systems have gained significant attention due to their potential applications in industrial automation, surveillance, logistics, and assistive technologies. This paper presents an Intelligent Robotic System that integrates multiple AI-driven techniques, including You Only Look Once...

The Internet of Things (IoT) represents a paradigm shift in the way data is generated, transmitted, and utilized. The inclusion of IoT technologies in different sectors has resulted in large amounts of data, requiring advanced data analytics approaches to derive useful insights. This paper presents a...

The theoretical basis of Artificial Intelligence (AI) has been established since the middle of the last century. After 1970, after John McCarthy and others established an AI laboratory at MIT, the first batch of scholars and technologies began to emerge, and AI began to flourish. path of. Today, AI is...

The removal of single-phase grounding fault in the 10kV distribution system caused voltage transformer fuse. Used Multisim simulation to modeling analysis, and discusses the harmonic elimination resistor in the low-frequency oscillations of the current. With the proposed solutions, the research results...

The growing power of quantum computing holds the potential to revolutionize secure cross-border ecosystem involvement, promote smooth data transfer and massive global cooperation. Despite a wealth of research on theoretical advancements and regional quantum initiatives, there are still considerable gaps...

This work contributes to the development of self-learning neurosymbolic cognitive computing frameworks to enrich global community engagement and policy-making. The current literature has accomplished much in terms of the theoretical groundwork for neurosymbolic AI, but some challenges such as a lack...

This paper presents the design and implementation of a 17 DOF humanoid robot for rescue and disaster management operations. This innovative robot is equipped with 17 DOF (Degrees of Freedom), providing it with flexibility to replicate various human movements and capable of navigating challenging terrains,...

Decentralized digital networks have transformed how data is communicated, stored, and computed, but energy efficiency still poses a significant dilemma. Most existing studies mainly target wireless networking, policy-driven sustainability measures, or dated computing paradigms, leaving a gap for practical,...

This paper aims to explore the profound impact of the AI language model ChatGPT on human society. We first introduce the working mechanism and developmental history of ChatGPT, followed by an in-depth discussion of its applications in various sectors including education, business, health, and entertainment....

The integration of Augmented Intelligence (AI + Human Collaboration) in governance has the potential to revolutionize decision support systems, enhance data-driven public participation, and drive policy innovation. However, existing research remains largely theoretical, lacks empirical validation, and...

Road safety is one of the major concerns of this century, as a lot of injuries occur due to the non -compliance of wearing helmets while riding motorcycles. In response to this, we have decided to design and complete an AI Powered Safety System that attempts to do two things at the same time. This system...