Unmanned aerial vehicles (UAVs) are increasingly being deployed in crucial missions for the armed forces, law enforcement, industrial control monitoring, and other sectors. However, these hostile operating circumstances, along with UAVs' dependence on wireless protocols, pose substantial security threats, limiting their mainstream application. With network such a major issue UAV networks, machine learning-based intrusion detection system (IDS) has been determined to be an effective strategy...

In this paper, a task scheduling problem for cloud computing environment is formulated by using the M/M/n queuing model. A priority assignment algorithm designed to employ new data structure named waiting time matrix assign individual tasks upon arrival. addition this, queue implements unique concept based on principle of Fibonacci heap extracting with highest priority. This work introduces parallel in which and building executed respect non-preemptive preemptive nature tasks. The proposed...

Channel estimation poses a main challenge in intelligent reflecting surface (IRS)-assisted millimeter wave (mmWave) multi-user multiple-input multiple-output (MIMO) systems due to the substantial number of antennas at base station (BS) and passive reflective elements within IRS lacking sufficient signal processing capabilities. This article addresses this by proposing channel technique for IRS-assisted mmWave MIMO systems. The problem is normally taken as compressed sensing (CS) problem,...

In the era of big data, managing dynamic data flows efficiently is crucial as traditional storage models struggle with real-time regulation and risk overflow. This paper introduces Data Dams, a novel framework designed to optimize inflow, storage, outflow by dynamically adjusting flow rates prevent congestion while maximizing resource utilization. Inspired physical dam mechanisms, employs intelligent sluice controls predictive analytics regulate based on system conditions such bandwidth...

Objective This paper aims to address the need for real-time malaria disease detection that integrates a faster prediction model with robust underlying network. The study first proposes 5G network-based healthcare system and then develops an automated capable of providing accurate diagnosis, particularly in areas limited diagnostic resources. Methods proposed leverages deep learning-based YOLOv5x algorithm detect parasites thick thin blood smear samples. network architecture was modified by...

The security of Internet Medical Things (IoMT) devices is crucial for ensuring the integrity and reliability patients' medical data. These devices, operating over TCP ICMP protocols, are highly susceptible to cyberattacks. While machine learning models can detect these attacks with acceptable accuracy, their operational mechanisms remain unclear, leaving decision-making process undefined. Moreover, accuracy training time more questionable when datasets has large number sparse features class...

Reporting the results of optimization algorithms in evolutionary computation is a challenging task with many potential pitfalls.The source problems their stochastic nature and inability to guarantee an optimal solution polynomial time.One basic questions that often not addressed concerns method summarizing entire distribution solutions into single value.Although mean value used by default for purpose, best obtained also occasionally addition or instead it.Based on our analysis different...

Reporting the empirical results of swarm and evolutionary computation algorithms is a challenging task with many possible difficulties. These difficulties stem from stochastic nature such algorithms, as well their inability to guarantee an optimal solution in polynomial time. This research deals measuring performance optimization confidence intervals empirically obtained statistics. Traditionally, arithmetic mean used for average performance, but we propose quantiles average, peak bad-case...

Ant colony optimization (ACO) is a well-known class of swarm intelligence algorithms suitable for solving many NP-hard problems. An important component such record pheromone trails that reflect colonies’ experiences with previously constructed solutions the problem instance being solved. By using pheromones, algorithm builds probabilistic model exploited constructing new and, hopefully, better solutions. Traditionally, there are two different strategies updating trails. The best-so-far...

Modern programming paradigms have brought many different challenges for visually impaired programmers. Graphical interfaces become one of the biggest obstacles professionals. The same problems that relate to programmers also apply education in which it is very challenging make educational accessible and other students with disabilities. In order more suitable visual impairment an system enables voice-based control its elements has been developed purpose their education. results using this...

The performance of Wireless Sensor Networks (WSNs) is an important fragment the Internet Things (IoT), where current WSNbuilt IoT network’s sensor hubs are enticing due to their critical resources. By grouping hubs, a clustering convention offers useful solution for ensuring energy-saving and Hybrid Media Access Control (HMAC) during course organization. Nevertheless, standards suffer from issues with structure that impacts exhibition these conventions negatively. In this investigation, we...

Modern automobiles have many built-in sensors and electronic control units responsible for increasing safety, optimizing performance improving occupant comfort.Along with this well-established uses of computing devices inside automobiles, there are two main research directions in further computerization automobiles.One direction is aimed at creating vehicles that communicate road infrastructure other ad hoc manner forming vehicular network (VANET).The expected to produce self-driving can...

The sensorimotor system is a crucial mechanism that enables organisms to categorize information in their environment, skill necessary for survival. According cognitive scientist Steven Harnad's "To Cognize Categorize: Cognition Categorization all living things are essentially systems. This approach proposed serve as novel concept the development of algorithms inspired by swarm intelligence. Many authors such have drawn inspiration from animal species, attempting emulate abilities interact...

Business systems as well corresponding websites are constantly growing in their complexity and it is harder to use them find desired functionality or information. Intelligent assistants can be used a mean of enabling users information they seek get the answers require way that quicker more suited for wider types compared traditional approach because not required know system detail but rather communicate with appropriate intelligent assistant natural language which similar talking colleagues....