Search Results - (( using actor using algorithm ) OR ( evolution optimization bat algorithm ))

Multi-Swarm bat algorithm by Taha A.M., Chen S.-D., Mustapha A.

“…In this study a new Bat Algorithm (BA) based on multi-swarm technique called the Multi-Swarm Bat Algorithm (MSBA) is proposed to address the problem of premature convergence phenomenon. …”

Quality of service and energy efficient aware (QEEA) scheduling algorithm for long term evolution (LTE) network / Nurulanis Mohd Yusoff by Mohd Yusoff, Nurulanis

“…Basically, the QEEA is based on the Time Domain (TD) and Frequency Domain (FD) scheduling where it is dependent on the QoS requirements to allocate resources. The proposed algorithm is compared against other scheduling algorithms, namely, the Channel and QoS Aware (CQA), Priority Set Scheduler (PSS), Proportional Fair (PF), Maximum Throughput (MT) and Blind Average Throughput (BAT). …”
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Deploying clustered wireless sensor network by multi-robot system by Arezoumand, Reza, Mashohor, Syamsiah

“…Using spanning tree as exploration algorithm helps robot to full coverage deployment of nodes. …”
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Financial trading using learning-based approach by Tan, Li Xue

“…The reinforcement learning algorithms applied include Advantage Actor-Critic (A2C), Proximal Policy Optimisation (PPO), and Twin Delayed Deep Deterministic Policy Gradient (TD3). …”
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Comparison of PPO and SAC Algorithms towards decision making strategies for collision avoidance among multiple autonomous vehicles by Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Md Arafatur, Rahman

“…In order to address this challenge, a simulation was implemented in the Unity3D game engine and two state-of-the-art RL algorithms PPO (Proximal Policy Optimization) and SAC (Soft Actor-Critic) were trained by an agent using Unity ML-Agents Toolkit. …”
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Deep reinforcement learning-based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles by Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Rahman, Md. Arafatur, Alenezi, Ali H.

“…Three state-of-theart contemporary actor-critic algorithms are used to create an extensive simulation in Unity3D. …”
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Deep reinforcement learning based driving strategy for avoidance of chain collisions and its safety efficiency analysis in autonomous vehicles by Abu Jafar, Md Muzahid, Syafiq Fauzi, Kamarulzaman, Rahman, Md. Arafatur, Alenezi, Ali H.

“…Three state-of-the-art contemporary actor-critic algorithms are used to create an extensive simulation in Unity3D. …”
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Islamic media algorithms and halal perception in Malaysia by Jamaludin, Mohammad Aizat, Rosli, Nur Liana Izzaty, Ibrahim, Muhammad Irhammudin

“…Using a qualitative approach such as content analysis, findings reveal that platform algorithms contribute to misinformation, confusion, and a distorted understanding of Halal principles. …”
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Islamic media algorithms and halal perception in Malaysia by Jamaludin, Mohammad Aizat, Rosli, Nur Liana Izzaty, Ibrahim, Muhammad Irhammudi

“…Using a qualitative approach such as content analysis, findings reveal that platform algorithms contribute to misinformation, confusion, and a distorted understanding of Halal principles. …”
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Shared mental model as an enabler of Malaysia waqf land development by Ismail, Nur Azlin, Omar, Ismail, Abu Bakar, Mohamad Noor Ropiah, Suhaili, Nur Aqidah, Hussin, Rohayati

“…By having an investigation towards this complex collaboration, the ontology of the SMM is not only being accessed in satisfying the different societal sectors objectives but also on how did the WSA deed was executed and accomplished by it.The relation and algorithm description were then being conceptualized and supported by the means of UML framework.Methodology - To gain an understanding into the application of SMM, a series of in-depth interview was conducted among the WSA main actors; Majlis Agama Islam Pulau Pinang(MAINPP) and UDA Holdings (UDA), Using an extract of WSA successful story, an empirical input- process output (I-P-O) UML outlay was used to scrutinize the indexed of the convergence and collectivity theme derived from these interview transcriptions.The iterative process of validation, refinement and peer review involves both actors and researchers. …”
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Fingerprint image segmentation using hierarchical technique by Wan Abu Bakar, Wan Aezwani, Sulong, Ghazali

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Exploring the unseen: Unleashing the potential of Synthesia AI in pedagogical approaches / Ts. Jacqueline Joseph by Joseph, Jacqueline

“…Synthesis AI is an advanced innovation that utilizes AI and deep learning algorithms to create educational videos with a humanlike voice actor. …”
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Implementing elliptic curve cryptography on communication key in elliptic curve integrated encryption scheme / Muhammad Haziq Mohd Jefry, Mumtazatun Nisa’ Aidil Fizza and Naf’an Na... by Mohd Jefry, Muhammad Haziq, Aidil Fizza, Mumtazatun Nisa’, Nasha, Naf’an

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Assessing the potential of laboratory instructional tool through Synthesia AI: a case study on student learning outcome / Jacqueline Joseph by Joseph, Jacqueline

“…With its advanced machine learning algorithms, Synthesia AI can generate photorealistic video content featuring virtual actors and presenters that can be programmed to speak in multiple languages, accents, and even emotional tones. …”
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Reinforcement learning-driven hybrid precopy/postcopy VM migration for energy-efficient data centers by Hidayat, Taufik, Ramli, Kalamullah, Harwahyu, Ruki, Salman, Muhammad, Gunawan, Teddy Surya

“…The data center state and the resource load, including the CPU, memory, and network, are represented in the agent’s state space using a two-layer graph neural network (GNN), and the asynchronous advantage actor–critic (A3C) algorithm is employed to dynamically determine whether to continue the precopy phase or switch to postcopy and optimize the trade-off among the total migration time, downtime, and energy consumption while adhering to the service-level agreement (SLA) constraints. …”
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