Search Results - (( developing driven evolution algorithm ) OR ( java implementation during algorithm ))

Navigating challenges and opportunities of machine learning in hydrogen catalysis and production processes: Beyond algorithm development by Salehmin M.N.I., Tiong S.K., Mohamed H., Umar D.A., Yu K.L., Ong H.C., Nomanbhay S., Lim S.S.

“…With the projected global surge in hydrogen demand, driven by increasing applications and the imperative for low-emission hydrogen, the integration of machine learning (ML) across the hydrogen energy value chain is a compelling avenue. …”

Application of genetic algorithm and JFugue in an evolutionary music generator by Tang, Jia Rou

“…Music that has been generated using JFugue involves real-time generation and user-driven evolution. This will involve the explanation of the use of evolution algorithms combined with the music programming to be able to create creative digital music.…”
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Pairwise testing tools based on hill climbing algorithm (PTCA) by Lim, Seng Kee

“…The actual implementation of the algorithm which is in Java programming language, the program is implemented on Net Bean 7.0.1. …”
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Bibliometric analysis of AI-driven FinTech revolution: mapping global trends, thematic evolution, and future directions by Magli, Amirah Shazana, Sabri, Mohamad Fazli, Hazudin, Siti Fahazarina, Law, Siong Hook, Janani, M., Najam, Usama, Shahabudin, Sharifah Muhairah

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A review on monocular tracking and mapping: from model-based to data-driven methods by Gadipudi, N., Elamvazuthi, I., Izhar, L.I., Tiwari, L., Hebbalaguppe, R., Lu, C.-K., Doss, A.S.A.

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Future trends in auditing: preparing for a technology-driven landscape by Muhammad Arnim, Nur Afiqah Najwa, Abd Razak, Siti Noor Azmawaty

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From sensing to predictions and database technique: a review of TV white space information acquisition in cognitive radio networks by Anabi, Hilary K., Nordin, Rosdiadee, Abdulghafoor, Omar B., Sali, Aduwati, Mohamedou, Ahmed, Almqdshi, Abdulmajid, Abdullah, Nor Fadzillah

“…Strategies to acquire white space information is the single most significant functionality in cognitive radio networks (CRNs) and as such, it has gone some evolution to enhance information accuracy. The evolution trends are spectrum sensing, prediction algorithm and recently, geo-location database technique. …”
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The exploration of hybrid metaheuristics-based approaches: A bibliometric analysis by Nur Hidayah, Azmidi, Noryanti, Muhammad, Rozieana, Khairuddin

“…The rapid evolution of computational intelligence has driven significant interest in hybrid metaheuristics, which combine multiple optimization algorithms to solve complicated problems more efficiently. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

“…The circuits have been designed by proteus, the microcontrollers have been programmed by micro C, and the Graphical User Interface (GUI) has been implemented in Java. Few by electronic components such as RFID, multiplexer, XBee, and servo motors have been used to realize the system. …”
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Heart-design nexus: the emotion algorithm by Mohd Lokman, Anitawati

“…This book, "Heart-Design Nexus: The Emotion Algorithm", represents both a culmination and a continuation of that journey. …”
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Transitioning from information sharing to knowledge services: unpacking the evolution of rural media within the context of media integration by Wang, Shujie, Li, Ning, Liu, Niwen, Habes, Mohammed

“…This article explores the evolution of rural media in China, the burgeoning TikTok rural market, and the unique landscape of rural TikTok users. …”
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Talkout : Protecting mental health application with a lightweight message encryption by Gavin Teo Juen

“…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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Design & Development of a Robotic System Using LEGO Mindstorm by Abd Manap, Nurulfajar, Md Salim, Sani Irwan, Haron, Nor Zaidi

“…The system is capable in operating an off-line programming method, starting from its programming sequences until robotic implementation of the program. During early stages, the research is emphasis more towards designing a robotic system using RoboLab software and C++ programming language. …”
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Data Hiding Techniques In Digital Images by Al Thloothi, Salah Ramadan

“…After all these studies, one of the algorithms in the masking technique is developed and implemented using JAVA program to embed message into true color image with a good quality and higher capacity. …”
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Multi-floor indoor location estimation system based on wireless local area network by Chua, Tien Han

“…Before developing the system, study on characteristics of RSS is conducted to help the design, development and implementation of the proposed system. The proposed system is then designed and developed using Java programming language. …”
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Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system by Beg, Abul Hashem

“…The PLSR architecture model, workflow and algorithms are described. The PLSR has been developed using Java Programming language. …”
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A Data Mining-Based Model for Assessing Guangzhou's Higher Vocational Colleges 'New Energy Automobile Majors' Vocational Skills by He, Ling, Hamid, Hashima

“…For the purpose of measuring the real-world abilities of students participating in Renewable Energy (RE) vehicle programs at the HVC in Guangzhou, China, this study develops a unique model. The approach employs algorithms for data mining to enhance the accuracy and accessibility of results through the use of Random Forest (RF) and Generalized Additive Models (GAM) in a layering architecture. …”
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A malware analysis and detection system for mobile devices / Ali Feizollah by Ali, Feizollah

“…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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Human activity recognition via accelerometer and gyro sensors by Tee, Jia Lin

“…To prevent overfitting, early stopping is used to monitor validation loss during training and dropout rate of 0.3 are applied. …”
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Sentiment analysis on YouTube comments using machine learning techniques based on video games content by Adi Danish, Muhammad Amin, Bhuiyan, Mohaiminul Islam, Nur Shazwani, Kamarudin, Muhammad Zulfahmi, Toh Abdullah@ Toh Chin Lai, Nur Syafiqah, Mohd Nafis

“…The rapid evolution of the gaming industry, driven by technological advancements and a burgeoning community, necessitates a deeper understanding of user sentiments, especially as expressed on popular social media platforms like YouTube. …”
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