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9 Results Found

  • Article
  • Open Access
39 Citations
4,517 Views
16 Pages

An Optimized PV Control System Based on the Emperor Penguin Optimizer

  • Mariam A. Sameh,
  • Mostafa I. Marei,
  • M. A. Badr and
  • Mahmoud A. Attia

1 February 2021

During the day, photovoltaic (PV) systems are exposed to different sunlight conditions in addition to partial shading (PS). Accordingly, maximum power point tracking (MPPT) techniques have become essential for PV systems to secure harvesting the maxi...

(This article belongs to the Special Issue PV Tracking Systems)
  • Article
  • Open Access
25 Citations
3,222 Views
16 Pages

28 April 2023

The internet of things (IoT) paradigm roles an important play in enhancing smart city tracking applications and managing city procedures in real time. The most important problem connected to smart city applications has been solid waste management, wh...

(This article belongs to the Special Issue Sustainable Application of Internet of Things and Artificial Intelligence)
  • Article
  • Open Access
38 Citations
4,077 Views
16 Pages

Bio-Inspired Machine Learning Approach to Type 2 Diabetes Detection

  • Marwan Al-Tawil,
  • Basel A. Mahafzah,
  • Arar Al Tawil and
  • Ibrahim Aljarah

20 March 2023

Type 2 diabetes is a common life-changing disease that has been growing rapidly in recent years. According to the World Health Organization, approximately 90% of patients with diabetes worldwide have type 2 diabetes. Although there is no permanent cu...

(This article belongs to the Special Issue Machine Learning and Data Analysis)
  • Article
  • Open Access
27 Citations
3,863 Views
10 Pages

Fast and Green Method to Control Frauds of Geographical Origin in Traded Cuttlefish Using a Portable Infrared Reflective Instrument

  • Sarah Currò,
  • Stefania Balzan,
  • Lorenzo Serva,
  • Luciano Boffo and ,
  • Jacopo Carlo Ferlito,
  • Enrico Novelli and
  • Luca Fasolato
  • + 2 authors+ 0 author

21 July 2021

An appropriate seafood origin identification is essential for labelling regulation but also economic and ecological issues. Near infrared (NIRS) reflectance spectroscopy was employed to assess the origins of cuttlefish caught from five fishing FAO ar...

(This article belongs to the Section Food Analytical Methods)
  • Article
  • Open Access
4 Citations
4,851 Views
17 Pages

The Influence of Fishers’ Behavior on Recreational Fishing Dynamics and Catch: Insights from a Mediterranean Coastal Lagoon

  • Alice Stocco,
  • Pietro Gorgosalice,
  • Marco Anelli Monti,
  • Alberto Caccin and
  • Fabio Pranovi

1 August 2024

Recreational fishing is practiced by thousands of people in European coastal waters and is steadily gaining popularity. Serving multiple purposes, recreational fishing provides fresh fish for meals, offers leisure, and contributes to traditional ecol...

  • Article
  • Open Access
8 Citations
2,720 Views
17 Pages

Machine Learning Method Based on Symbiotic Organism Search Algorithm for Thermal Load Prediction in Buildings

  • Fatemeh Nejati,
  • Wahidullah Omer Zoy,
  • Nayer Tahoori,
  • Pardayev Abdunabi Xalikovich and ,
  • Mohammad Amin Sharifian and
  • Moncef L. Nehdi
  • + 1 author+ 0 author

This research investigates the efficacy of a proposed novel machine learning tool for the optimal simulation of building thermal load. By applying a symbiotic organism search (SOS) metaheuristic algorithm to a well-known model, namely an artificial n...

(This article belongs to the Section Building Materials, and Repair & Renovation)
  • Article
  • Open Access
86 Citations
3,783 Views
14 Pages

Estimating Compressive Strength of Concrete Using Neural Electromagnetic Field Optimization

  • Mohammad Reza Akbarzadeh,
  • Hossein Ghafourian,
  • Arsalan Anvari,
  • Ramin Pourhanasa and
  • Moncef L. Nehdi

5 June 2023

Concrete compressive strength (CCS) is among the most important mechanical characteristics of this widely used material. This study develops a novel integrative method for efficient prediction of CCS. The suggested method is an artificial neural netw...

(This article belongs to the Section Construction and Building Materials)
  • Article
  • Open Access
899 Views
30 Pages

SCAG-Net: Automated Brain Tumor Prediction from MRI Using Cuttlefish-Optimized Attention-Based Graph Networks

  • Vijay Govindarajan,
  • Ashit Kumar Dutta,
  • Amr Yousef,
  • Mohd Anjum and ,
  • Ali Elrashidi and
  • Sana Shahab
  • + 1 author+ 0 author

13 February 2026

Background/Objectives: The earlier, more accurate, and more consistent prediction of the brain tumor recognition process requires automated systems to minimize diagnostic delays and human error. The automated system provides a platform for handling l...

(This article belongs to the Special Issue Advances in Machine Learning for Medical Image Processing and Analysis)
  • Article
  • Open Access
122 Citations
14,097 Views
32 Pages

An Analysis of the KDD99 and UNSW-NB15 Datasets for the Intrusion Detection System

  • Muataz Salam Al-Daweri,
  • Khairul Akram Zainol Ariffin,
  • Salwani Abdullah and
  • Mohamad Firham Efendy Md. Senan

13 October 2020

The significant increase in technology development over the internet makes network security a crucial issue. An intrusion detection system (IDS) shall be introduced to protect the networks from various attacks. Even with the increased amount of works...

(This article belongs to the Section A: Computer Science)