Today’s world, technology has become an inevitable part of human life. In fact, during the Covid-19 pandemic, everything from the corporate world to educational institutions has shifted from offline to online. It leads to exponential increase in intrusions and attacks over the in...
Open access
Research Article10.9734/ajrcos/2023/v16i4378
Background: The growing concern over phishing attacks on voting systems, particularly with the rise of online voting, has highlighted vulnerabilities in elections. The convenience of internet voting has led to security risks like clone phishing attacks. While online voting offers...
Open access
Research Article10.9734/ajrcos/2023/v16i4379
Sentiment analysis, a key task in natural language processing, is important for detecting the emotional tone portrayed in text. In this study, we focus on implementing a Gated Recurrent Unit (GRU) model to analyze attitudes within the 2020 Donald Trump Election tweets dataset....
Open access
Research Article10.9734/ajrcos/2023/v16i4376
Classification is basically a Multi-objective problem. The efficiency of classification vastly depends on performance of a classifier which can be evaluated on the basis of Receiver Operating Characteristic (ROC) graph, Area under Curve (AUC), and selection of different threshold...
Open access
Research Article10.9734/ajrcos/2023/v16i4375
Agriculture is an essential part of the Pakistani economy, and it is embedded into the country’s antiquated financial framework. Intelligent systems can be developed through the usage of IoT-based technology. In hydroponics farming, precision is a challenge, particularly for som...
Open access
Research Article10.9734/ajrcos/2023/v16i4373
Aims: Virtual reality (VR) is a new approach that gives users an immersive experience. VR applications frequently experience performance bottlenecks due to the high processing cost of displaying real-time animations multiple times (for both eyes) and the limited resources of wear...
Open access
Research Article10.9734/ajrcos/2023/v16i4374
Artificial neural networks (ANN), which have been a hot topic in the field of artificial intelligence (AI) since the 1980s, are widely applied these years for their strong ability in the field of nonlinear mapping, pattern recognition, robots, automatic control, biology, economy...
Open access
Research Article10.9734/ajrcos/2023/v16i4371
The emergence of artificial intelligence is mostly linked to software-driven robotic systems, including mobile robots, unmanned aerial aircraft, and, to a growing extent, semi-autonomous automobiles. Nevertheless, the significant disparity between the algorithmic realm and the ph...
Open access
Research Article10.9734/ajrcos/2023/v16i4372
Fraudulent health insurance claims pose a significant challenge to insurance companies and healthcare providers, leading to substantial financial losses and compromised service quality. In this study, we focused on detecting fraudulent health insurance claims using the decision t...
Open access
Research Article10.9734/ajrcos/2023/v16i4370
Software defect prediction plays a crucial role in ensuring software quality and minimizing the potential risks associated with defects. This study aims to develop a comprehensive software defect prediction system that utilizes tree-based algorithms to enhance accuracy, feature s...
Open access
Research Article10.9734/ajrcos/2023/v16i4368