Search Results - "Advances in Computing and Engineering"

Advances in Computing and Engineering

Subject Terms: computer science, information technology, computer engineering, engineering, software engineering, Electronic computers. Computer science, QA75.5-76.95, Technology (General), T1-995, Computer engineering. Computer hardware, TK7885-7895

File Description: electronic resource

Relation: http://apc.aast.edu/ojs/index.php/ACE/about/editorialPolicies#focusAndScope; http://apc.aast.edu/ojs/index.php/ACE/about/submissions#authorGuidelines; http://apc.aast.edu/ojs/index.php/ACE/about/editorialPolicies#openAccessPolicy; http://apc.aast.edu/ojs/index.php/ACE/

Access URL: https://doaj.org/toc/2735-5985

Advances in Computing and Engineering

Subject Terms: computer science, information technology, computer engineering, engineering, software engineering, Electronic computers. Computer science, QA75.5-76.95, Technology (General), T1-995, Computer engineering. Computer hardware, TK7885-7895

Relation: http://apc.aast.edu/ojs/index.php/ACE/about/editorialPolicies#focusAndScope; http://apc.aast.edu/ojs/index.php/ACE/about/submissions#authorGuidelines; http://apc.aast.edu/ojs/index.php/ACE/

Availability: https://doaj.org/toc/2735-5985

2020 International Conference on Advances in Computing & Communication Engineering (ICACCE-2020)

Source: 2020 International Conference on Advances in Computing and Communication Engineering (ICACCE). :1-1

Access URL: https://ieeexplore.ieee.org/ielx7/9145686/9154918/09155027.pdf

Advances in Computing & Communication Engineering

Authors: Kunwar Singh Vaisla

AN AI-BASED FRAMEWORK FOR IMPROVING EFFICIENCY AND FAIRNESS IN THE INTERVIEW PROCESS.

Authors: Taman, Mohannad Khaled, Yahia Sobhy, Dalia

Source: Advances in Computing & Engineering; Jun2025, Vol. 5 Issue 1, p20-34, 15p

Subject Terms: CONVOLUTIONAL neural networks, EMOTION recognition, ARTIFICIAL intelligence, EMPLOYEE selection, DEEP learning

DYNAMIC DEMAND RESPONSE STRATEGIES FOR LOAD MANAGEMENT USING MACHINE LEARNING ACROSS CONSUMER SEGMENTS.

Authors: Goli, Ravi Kumar Shaik, Nazeer Yelamanchili, Manju Sree

Source: Advances in Computing & Engineering; Dec2024, Vol. 4 Issue 2, p144-157, 14p

Subject Terms: PEAK load, REINFORCEMENT learning, ENERGY consumption, MACHINE learning, INCENTIVE (Psychology)

LEVERAGING DEEP LEARNING TECHNOLOGY FOR ENHANCING PRINTING PRESS QUALITY.

Authors: Muyiwa, Omotunde Alabi Adejumo, B. H.

Source: Advances in Computing & Engineering; Dec2024, Vol. 4 Issue 2, p109-124, 16p

Subject Terms: MACHINE learning, NEWSPAPER publishing, CONVOLUTIONAL neural networks, SUPPORT vector machines, FEATURE extraction, DEEP learning

OPTIMAL DESIGN OF LAMINATED COMPOSITE AND NANOCOMPOSITE STRUCTURES USING EVOLUTIONARY OPTIMIZATION TECHNIQUES: A SURVEY.

Authors: Moyo, Ranganai T. Tabakov, Pavel Y.

Source: Advances in Computing & Engineering; Dec2024, Vol. 4 Issue 2, p82-108, 27p

Subject Terms: LAMINATED materials, NANOCOMPOSITE materials, MATHEMATICAL optimization, COMPOSITE structures, COMPOSITE materials

ENHANCING COMPUTATIONAL EFFICIENCY IN SOLVING KNAPSACK PROBLEM: INSIGHTS FROM ALGORITHMIC PARALLELIZATION AND OPTIMIZATION.

Authors: Bin Usman, Bashar Elisha, Okeyinka Aderemi Abdullahi, Ibrahim et al.

Source: Advances in Computing & Engineering; Dec2024, Vol. 4 Issue 2, p52-65, 14p

Subject Terms: TIME complexity, OPTIMIZATION algorithms, KNAPSACK problems, GREEDY algorithms, RANDOM numbers

Laws That Have Shaped Radiology: Part II.

Authors: Moorthy, Gyan Bush, Leah Zimmerman, Anne et al.

Source: Academic Radiology. 2025 Supplement 1, Vol. 32, pS43-S51. 9p.

FIRE DETECTION USING SURVEILLANCE SYSTEMS.

Authors: Mahmoud, Hanan Samir

Source: Advances in Computing & Engineering; Jun2024, Vol. 4 Issue 1, p44-51, 8p

Subject Terms: TELEVISION in security systems, IMAGE segmentation, LIGHTING, FIRE prevention, VIDEOS, IMAGE processing, VIDEO surveillance

Real-time mobile broadband quality of service prediction using AI-driven customer-centric approach

Authors: Ayokunle A. Akinlabi Folasade M. Dahunsi Jide J. Popoola et al.

Source: Advances in Computing and Engineering, Vol 5, Iss 1, Pp 1-19 (2025)

Subject Terms: cellular network: mobile broadband, quality of service, machine learning, crowdsourcing, extreme gradient boosting, random forest, support vector machine, Electronic computers. Computer science, QA75.5-76.95, Technology (General), T1-995, Computer engineering. Computer hardware, TK7885-7895

File Description: electronic resource

Relation: http://apc.aast.edu/ojs/index.php/ACE/article/view/1332; https://doaj.org/toc/2735-5977; https://doaj.org/toc/2735-5985

Access URL: https://doaj.org/article/c90e0bdd9fa34acab32decb4fe494802

An AI-based framework for improving efficiency and fairness in the interview process

Authors: Mohannad Taman Yahia Khaled Dalia Sobhy

Source: Advances in Computing and Engineering, Vol 5, Iss 1, Pp 20-34 (2025)

Subject Terms: artificial intelligence, virtual interviews, facial emotion recognition, speech processing, deep learning applications., Electronic computers. Computer science, QA75.5-76.95, Technology (General), T1-995, Computer engineering. Computer hardware, TK7885-7895

File Description: electronic resource

Relation: http://apc.aast.edu/ojs/index.php/ACE/article/view/1317; https://doaj.org/toc/2735-5977; https://doaj.org/toc/2735-5985

Access URL: https://doaj.org/article/c6381971fcbe409eae1ba8f7f69de136

Fog computing-enabled smart seating systems: optimizing latency and network bandwidth efficiency in classrooms

Authors: Evans Obu Michael Asante Eric Opoku Osei

Source: Advances in Computing and Engineering, Vol 5, Iss 1, Pp 35-49 (2025)

Subject Terms: cloud computing (cc), fog computing (fc), ifogsim, latency, network efficiency, smart seating system, Electronic computers. Computer science, QA75.5-76.95, Technology (General), T1-995, Computer engineering. Computer hardware, TK7885-7895

File Description: electronic resource

Relation: http://apc.aast.edu/ojs/index.php/ACE/article/view/1335; https://doaj.org/toc/2735-5977; https://doaj.org/toc/2735-5985

Access URL: https://doaj.org/article/024cbb1120c4485c92b6794d0ce0e3ef

FOG COMPUTING-ENABLED SMART SEATING SYSTEMS: OPTIMIZING LATENCY AND NETWORK BANDWIDTH EFFICIENCY IN CLASSROOMS.

Authors: Obu, Evans Asante, Michael Osei, Eric Opoku

Source: Advances in Computing & Engineering; Jun2025, Vol. 5 Issue 1, p35-49, 15p

Subject Terms: CLASSROOM management, WIRELESS sensor networks, SCHOOL environment, VERNACULAR architecture, INTERNET of things

REAL-TIME MOBILE BROADBAND QUALITY OF SERVICE PREDICTION USING AI-DRIVEN CUSTOMER-CENTRIC APPROACH.

Authors: Akinlabi, Ayokunle A. Dahunsi, Folasade M. Popoola, Jide J. et al.

Source: Advances in Computing & Engineering; Jun2025, Vol. 5 Issue 1, p1-18, 19p

Subject Terms: WIRELESS Internet, MACHINE learning, ARTIFICIAL intelligence, SUPPORT vector machines, TELECOMMUNICATION systems, INTERNET domain naming system

MEMS and NEMS - Micro (and Nano) Electromechanical Systems.

Authors: Abdelrassoul, Roshdy A.

Source: Advances in Computing & Engineering; Jun2022, Vol. 2 Issue 1, p58-67, 10p

Subject Terms: ELECTROMECHANICAL technology, INTERNET of things, 5G networks, MICROELECTROMECHANICAL systems, FABRICATION (Manufacturing)

OBJECT DETECTION IN INLAND VESSELS USING COMBINED TRAINED AND PRETRAINED MODELS OF YOLO8.

Authors: Goudah, Ahmad A. Jarofka, Maximilian El-Habrouk, Mohmed et al.

Source: Advances in Computing & Engineering; Dec2023, Vol. 3 Issue 2, p64-117, 54p

Subject Terms: COMPUTER vision, OBJECT recognition (Computer vision), VISUAL fields, WATERWAYS, INLAND navigation, LUCID (Computer program language), ANNOTATIONS, STATURE, NEURAL circuitry, THRUST

A FRAMEWORK FOR DEVELOPING USER-BASED ADAPTIVE GAMIFIED SYSTEMS.

Authors: El Gammal, Wael Sherief, Nada Abdelmoez, Walid

Source: Advances in Computing & Engineering; Dec2023, Vol. 3 Issue 2, p24-63, 40p

Subject Terms: COMPUTER software development, GAMIFICATION, ONTOLOGY, RESEARCH personnel, ENGINEERING design, SOFTWARE engineering, SOFTWARE engineers, SPARQL (Computer program language), JOB involvement

Dynamic demand response strategies for load management using machine learning across consumer segments

Authors: Ravi Kumar Goli Nazeer Shaik Manju Sree Yalamanchili

Source: Advances in Computing and Engineering, Vol 4, Iss 2, Pp 144-157 (2024)

Subject Terms: grid optimization, demand responce, machine learning, Electronic computers. Computer science, QA75.5-76.95, Technology (General), T1-995, Computer engineering. Computer hardware, TK7885-7895

File Description: electronic resource

Relation: http://apc.aast.edu/ojs/index.php/ACE/article/view/1082; https://doaj.org/toc/2735-5977; https://doaj.org/toc/2735-5985

Access URL: https://doaj.org/article/3de18c16dcee4e679ffca893971d5332