This paper developed an artificial intelligence home environment monitoring system by using the Android Studio development platform. A database was constructed within a server to store sensor data. The proposed comprises multiple sensors, message queueing telemetry transport (MQTT) communication protocol, cloud data storage and computation, end device control. mobile application MongoDB software, which is file-oriented NoSQL management C++. represents new for processing big k-nearest...

The wide proliferation of telecommunication technologies in the last decade gives rise to number more sophisticated security threats. Software-Defined Networking (SDN) is a new networking architecture that isolates network control plane from data incidentally provides better features and functionalities detect deal with those Its elastic programmable feature permits efficient management operators flexibility monitor fine-tune their network. However, technology also created many concerns,...

Based on the literature, we present an artificial intelligence marketing (AIM) framework that enables autonomous machines to receive big data and information, use (AI) create knowledge, then disseminate apply knowledge enhance customer relationships in a knowledge-based environment. To develop AIM framework, bring together curate wide range of relevant literatures including real-life examples cases, understand how these contribute this research topic. We explain from interdisciplinary...

Software-defined networking (SDN) presents novel security and privacy risks, including distributed denial-of-service (DDoS) attacks. In response to these threats, machine learning (ML) deep (DL) have emerged as effective approaches for quickly identifying mitigating anomalies. To this end, research employs various classification methods, support vector machines (SVMs), K-nearest neighbors (KNNs), decision trees (DTs), multiple layer perceptron (MLP), convolutional neural networks (CNNs),...

Flying ad hoc network (FANET) is an application of 5G access network, which consists unmanned aerial vehicles or flying nodes with scarce resources and high mobility rates. This paper proposes a deep Q-network (DQN)-based vertical routing scheme to select routes higher residual energy levels lower rates across planes (i.e., macro-plane, pico-plane, femto-plane), has not been investigated in the literature. The main motivation behind this work address frequent link disconnections partitions...

The proliferation of Distributed Denial Service (DDoS) attacks poses a significant threat to network accessibility and performance. Traditional feature selection methods struggle with the complexity traffic data, leading poor detection To address this issue, Genetic Algorithm Wrapper Feature Selection (GAWFS) is proposed, integrating Chi-squared (GA) approaches correlation method select most correlated features. GAWFS effectively reduces dimensions, eliminates redundancy, identifies crucial...

The global prevalence of diabetes mellitus is escalating rapidly. Similarly in Malaysia, among adults rose exponentially. Artificial intelligence (AI) integrated into mobile health applications (apps) presents a promising avenue for enhancing management through personalized patient education and behaviour modification. However, adoption rates remain low, primarily due to limited awareness technological challenges, especially older adults. This study aimed explore Malaysian healthcare...

The ability of an intrusion detection system (IDS) to accurately detect potential attacks is crucial in protecting network resources and data from the attack's destructive effects. Among many techniques available for incorporation into IDS improve its accuracy, classification algorithms have been demonstrated produce impressive efficient results detecting IPv4-based but not yet investigated IPv6-based attacks. This paper aims present result a comparative analysis on performance three...

Augmented intelligence (AuI) integrates human (HI) and artificial (AI) to harness their strengths mitigate weaknesses. The combination of HI AI has seen improve both machine capabilities, achieve a better performance compared separate approaches. In this paper, we present survey literature understand how AuI been applied in the literature, including roles AI, approaches, features, applications. Due limited related topic, also expert opinion answer four main questions experts' implications...

With the advancements in reinforcement learning (RL), new variants of this artificial intelligence approach have been introduced literature. This has led to increased interest using RL address complex issues diabetes management. Using RL, a decision maker (or agent) observes decision-making factors state) from dynamic operating environment, selects actions based on its optimal policy (i.e., mapping between states and actions), subsequently receives delayed rewards. The agent adapts changes...

Recent advancements in deep reinforcement learning (DRL) have led to its application multi-agent scenarios solve complex real-world problems, such as network resource allocation and sharing, routing, traffic signal controls. Multi-agent DRL (MADRL) enables multiple agents interact with each other their operating environment, learn without the need for external critics (or teachers), thereby solving problems. Significant performance enhancements brought about by use of MADRL been reported...

The Software-Defined Networking (SDN) technology improves network management over existing via centralized control. SDN provides a perfect platform for researchers to solve traditional network’s outstanding issues. However, despite the advantages of control, concern about its security is rising. more switched technology, attractive it becomes malicious actors, especially controller, because brain. A Distributed Denial Service (DDoS) attack on controller could cripple entire network. For that...

The rapid increase in the usage of mobile internet has led to a great expansion cellular data networks order provide better quality service. However, cost expand network is high. One solutions affordable wireless connectivity deployment WiFi access point offload users' usage. Nevertheless, frequent and inefficient handover process between AP network, especially when device on go, may degrade performance. Mobile devices do not have intelligence select optimal enhance service (QoS). This paper...

Access point selection is an issue frequently faced by mobile user due to constant movement. By connecting the best Wireless Local Area Network (WLAN) Point (AP), users can enjoy advantages of power consumption reduction while sustaining good communication quality. In this paper, a new approach intelligently selecting access in wireless local area network using Hidden Markov Model (HMM) proposed. used as prediction tool forecast WLAN AP that provide optimal Quality Service (QoS) observing...

Software-defined networkings (SDNs) have grown rapidly in recent years be-cause of SDNs are widely used managing large area networks and securing from Distributed Denial Services (DDoS) attacks. allow net-works to be monitored managed through centralized controller. Therefore, SDN controllers considered as the brain considerably vulnerable DDoS Thus, controller suffer several challenges that exhaust network resources. For controller, main target attacks is prevent legitimate users using a...

Technologies such as Internet of Things (IoT) and big data have been widely adopted to improve quality life. In this paper, an IoT platform is proposed automate urban farming process by embodiment IoT, cloud computing. The designed so that users especially farmers can monitor the growing environment nutrient be adjusted automatically without human intervention. utilises pH, total dissolved solids (TDS), oxidation reduction potential (ORP) temperature regulate optimum concentration solutions....

Artificial intelligence (AI) is a powerful tool for technological progress with profound impacts on governments, industries, universities, and societies. In Southeast Asia, AI has presented both opportunities challenges. Local governments are increasingly experimenting piloting technology to create smart, sustainable, inclusive cities. Nevertheless, the adoption of artificial in cities requires proper planning, management, implementation. Consequently, there need concerted effort establish...