According to statistics, there are 422 million speakers of the Arabic language. Islam is second-largest religion in world, and its followers constitute approximately 25% world’s population. Since Holy Quran Arabic, nearly all Muslims understand language per some analytical information. Many countries have as their native official well. In recent years, number internet users speaking has been increased, but very little work on it due complications. It challenging build a robust recognition...

With the significant research and advancements in technologies, arose new applications such as autonomous driving augmented/virtual reality. These required massive computational resources for execution of various tasks. Utilizing vehicles a distributed manner collectively with help volunteer computing tasks is an emerging area. The appropriate intelligent decision selecting vehicle crucial this opportunistic network where information exchanged between vehicles. In paper, we propose...

Penelitian ini menganalisis efektivitas Peraturan Presiden Nomor 98 Tahun 2021 dalam mendukung pencapaian Nationally Determined Contributions (NDC) Indonesia sesuai Perjanjian Paris.. Data statistik emisi GRK sebelum dan sesudah pemberlakuan peraturan dianalisis untuk menilai kebijakan. Hasil penelitian menunjukkan bahwa insentif pasar karbon berhasil mendorong investasi proyek rendah karbon, meskipun terdapat hambatan pelaksanaan, seperti kompleksitas pendaftaran kurangnya koordinasi antara...

Road accidents due to vehicles crashing each other not only result in loss of lives but also cause heavy damage the infrastructure. Several infrastructural changes, for example, placement mirror on blind corners, appropriate traffic signs and lights etc., do reduce number vehicle crashes. However, there are numerous factors contributing It is understood that last few seconds crucial if a crash can be predicted them then it avoided. In this paper, we propose computer vision based prediction...

In outdoor scenarios changing conditions (e.g., seasonal, weather and lighting effects) have a substantial impact on the appearance of scene, which often prevents successful visual localization. The application an unsupervised Slow Feature Analysis (SFA) images captured by autonomous robot enables self-localization from single image. However, changes occurring during training phase or over more extended period can affect learned representations. To address problem, we propose to join...

Remote Sensing is the process to acquire information about phenomena or an object without physical contact with subject under consideration. The applications of remote sensing vary from Geography land surveying and many more. Optical sensors used reflected sun rays for identification, being usable in day light shorter wavelength makes it inefficient limited time availability. Thus cannot penetrate earths' surface affected by atmospheric factors as well. Radar based are now overcome...

Existing URL filtering mechanisms lacks support for real-time fault tolerance and scalability. In this paper these issues are addressed by developing a scalable model which is real time tolerant to classify streams of traffic. The key feature our that it saves computation time, resources usage bandwidth. This implemented in Apache Spark runs APIs machine learning streaming. dataset consists 2.4 million URLs were taken from both clean malicious classes. training set, labeled as 1 0. For...

Scraping bots or scrapers are computer programs that automatically fetch data from the Internet. The price of products is illegally copied different e-commerce stores and pasted into their sites for benefit. Various web traffic surveys show automated account approximately half all website traffic. However, an E-commerce concerns many security issues remain unresolved despite a significant increase in development. One most damaging attacks on scraping when it comes to competitors. This paper...

The improvement of Large Language Models (LLM) such as ChatGPT through Retrieval-Augmented Generation (RAG) techniques has urgency in the development natural language translation technology and dialogue systems. LLMs often experience obstacles addressing special requests that require information outside training data. This study aims to discuss use on large-scale models improve performance Natural Processing (NLP) Indonesian, which so far been poorly supported by high-quality data overcome...

Forecasting inflation rates is a crucial aspect of economic analysis influenced by price volatility. This volatility occurs when prices fluctuate, leading to non-constant data variance and resulting in violation the homoscedasticity assumption (heteroscedasticity) forecasting. Violating this can cause bias model estimation. To address heteroscedasticity issue, study employs Autoregressive Integrated Moving Average (ARIMA) Generalized Conditional Heteroscedasticity (GARCH) model. method...

The research field of collective behaviors takes inspiration from natural self-organizing systems like honeybees, fish schools, social insects, bird flocks, and other animals. These can be transformed into robots by replicating the same set rules as found in swarms. deployment aerial swarm robotics has become significant due to their multiple applications surveillance, agriculture, military. lead development robotic platforms solve real-world problems. For example, a low-tech, cost-effective...

Hybrid Electric Vehicles based on P0 architecture have gained popularity in recent years due to the FE (Fuel Efficiency) improvement and emission reduction benefit it offers, at lesser cost integration effort compared other hybrid architectures. Mechanical stress electrical machine higher operating loads dynamics of FEAD (Front End Accessory Drive) system is a major challenge involved powertrain. This paper discusses causes effects excessive hub load measures identified mitigate torsional...

Coronavirus has affected daily lives of people all around the globe. Lungs being respiratory organ are most by such a virus. Alternative techniques for diagnosing coronavirus involving X-rays and CT scans chest have been proposed. The severity disease, on other hand, is crucial component in patient's treatment. As consequence, an automated approach to ascertain lungs designed decrease impacts practice right In this manuscript, we proposed deep learning-based model identifying level which...

The fragmented networks are formed due to the disaster such as fire, earthquake and flood etc. which can occur in metropolitan area network. communication among nodes is very important research question. Different solutions have been proposed establish between a fermented network makes use of named-based (NDN). NDN with help content store (CS), pending interest table (PIT), forward interest-based (FIB), establishes other nodes. However, these inefficient case networks. In this research, we...

Self-defence is an important skill for self safety especially women in times of danger. However, self-defence training not accessible to many. This paper presents a framework that estimates human pose using webcam and openpose analyzes the order give score performance based review. aims at teaching defense users. The idea capture user via RGB camera estimate openpose. Then features are extracted poses aligned temporal domain. result overall pipeline natural language feedback each feature...

Due to urbanization and increase in traffic density, provision of efficient public transport facility is a major component planning development. The spatio-temporal data vehicles' movement have mainly led mobility pattern analysis, which eventually reveal new information about the efficiency service. This research focuses on extracting patterns bus service for students Lahore City. Trajectory collected through GPS survey been processed by using MYSQL spatial database applications HTML...

The Datagram Transport Layer Security (DTLS) protocol has been designed to provide end-to-end security over unreliable communication links. Where its connection establishment is concerned, DTLS copes with potential loss of messages by implementing own detection and retransmission scheme. However, the default scheme turns out be suboptimal for links high transmission error rates low data rates, such as wireless in electromagnetically harsh industrial environments. Therefore, this paper, a...

Unsupervised learning of Self-Localization with Slow Feature Analysis (SFA) using omnidirectional camera input has been shown to be a viable alternative established SLAM approaches. Previous models for SFA self-localization purely relied on visual input. The model led globally consistent localization in space but the lack odometry integration reduced local accuracy. However, and other downstream usage require common coordinate system, which previously was based an external metric ground...