hind Khalid Hameed

@nahrainuniv.edu.iq

Al-Nahrain University



               Download Compact PDF  

https://researchid.co/hindkhalid
5

Scopus Publications

42

Scholar Citations

3

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Dynamic Job Scheduling in Manufacturing Systems using Deep Q-Learning
    Hind Khalid
    Al Khwarizmi Engineering Journal, 2026
    In this connection, this paper proposes a Deep Q-Network (DQN) approach to address the dynamic nature of the job-shop scheduling problem. Dynamic scheduling requires an efficient and reliable algorithm for handling disruptions such as machine breakdowns and job priority changes. When comparing DQN with traditional approaches such as genetic algorithm (GA) and PSO, the latter algorithms cannot cope with the problems. On the contrary, DQN gains knowledge from its experiences within the factory and develops a strategy for solving the scheduling problem through minimizing makespan and maximizing machine utilization. Moreover, using experience replay (ER) and target networks enables DQN to maintain stability and develop an optimal schedule. Empirically, it was found that DQN reduces makespan by 24.8% with machine utilization being 92%. From the results obtained, it can be noted that the learning parameters play a great role in determining the performance of the model. Thus, this study proves that DQN is an effective approach for addressing the issue under discussion and could also be used for developing other approaches such as multi-agent and double DQN.
  • Hybrid CNN-LSTM Model for Real-Time Detection of Zero-Day Attacks in Heterogeneous IoT Networks
    Journal of Information Hiding and Multimedia Signal Processing, 2025
  • Efficient Image Annotation and Caption System Using Deep Convolutional Neural Networks
    Hind Khalid
    Bio Web of Conferences, 2024
    This study aims to develop an annotation and image annotation system using the Fashion MNIST dataset, which consists of 70,000 grayscale images of ten clothing categories. The system uses a long short-term memory (LSTM) network to generate captions and a convolutional neural network (CNN) to extract image features. Performance evaluation metrics such as Precision, Recall, F1 score, BLEU score, METEOR score, CIDEr score, and ROUGE-L score are used where the accuracy of each clothing category is calculated to evaluate the performance of the model across different categories. Visual analysis of the generated captions is performed to gain insight into the effectiveness of the model and potential areas for improvement. The results indicate the model's success in classifying clothing items, as evidenced by its high accuracy on the test set. The qualitative study reveals the model's ability to identify different types of clothing by providing relevant captions, where the feature representation layer (normalization) plays a crucial role in transforming the detected features. to a flattened row which is then passed to a fully connected layer to learn the relationships and make final decisions with the output layer using a softmax activation function to assign probabilities to each image class, with the class with the highest probability selected as the predicted image class.
  • Modern techniques in detecting, identifying and classifying fruits according to the developed machine learning algorithm
    H. Khalid
    Journal of Applied Research and Technology, 2024
    Recent developments in machine vision have opened up a wide range of applications, and farming is no exception. Deep learning (DL) has a wide range of applications because of its capacity to extract robust features from photos. Shape, color, and feel of many fruit species make it difficult to discover and classify fruits. When examining the effects of artificial intelligence on fruit identification and classification, we noted that, up until 2018, the majority of approaches relied on traditional machine learning (ML) techniques, while just a few ways took use of DL techniques for recognizing fruits and categorization. In this post, we thoroughly covered the datasets that many academics utilized, the useful descriptors, the application of model, and the difficulties of utilizing DL to identify and classify fruits. Finally, we compiled the outcomes of various DL techniques used in earlier research to identify and categorize fruits. This work examines the use of models based on DL for fruit categorization and recognition in recent studies. In order to make it simpler for beginning agricultural researchers to comprehend the importance of ML in the agricultural domain, we have developed a DL model for apple categorization using the well-known dataset "Fruit 360" starting scratch.
  • Forecasting neural networks, such as forecasting sale the plastic injection machine market
    Hind Khalid
    Journal of Physics Conference Series, 2021
    The aim of this research is to show what benefits the use of neural networks in forecasting processes can bring, among its development through out the years considering different kinds of mathematical methods. The software applications that have been developed recently for forecasting processes are neural and AI-based. Data entries from previous months are used in mathematical methods to calculate and predict sales in a company. By the use of these neural and AI-based processes, predictions of whether company sales will go up or down the next month can be made. This research will help to better understand the process behind these predictions and how the developments of neural networks come into place.

RECENT SCHOLAR PUBLICATIONS

  • A Deep Dive into Deep Learning and Machine Learning: A Review Study
    H Khalid
    Journal of Al-Qadisiyah for Computer Science and Mathematics 17 (3), 102–132 , 2025
    2025
  • AI-Driven Near-Lossless Audio Compression Modeling via Autoencoders
    H Khalid
    Al-Rafidain Journal of Engineering Sciences 3 (2), 402-422 , 2025
    2025
  • Hybrid CNN-LSTM Model for Real-Time Detection of Zero-Day Attacks in Heterogeneous IoT Networks
    HKWA Alawsi
    Journal of Information Hiding and Multimedia Signal Processing 16 (3), 1058-1069 , 2025
    2025
    Citations: 3
  • Anomaly Detection in IoT Networks Using Machine Learning Techniques
    H Khalid
    Dijlah Journal of Engineering Sciences 2 (3), 127 - 136 , 2025
    2025
  • Improving network security and traffic regulation through deep learning systems
    H Khlaid
    International Journal of Modern Research in Engineering and Technology 10 (8 … , 2025
    2025
  • دور تكنولوجيا الكمبيوتر في مكافحة تعاطي المخدرات ‎
    م.هند خالد حميد ‎
    مركز حمورابي للبحوث والدراسات الاستراتيجية , 2025 ‎
    2025
  • Developing Cost-Effective AI Algorithms for Resource-Constrained Devices
    HK Hameed
    International Journal of Computers and Informatics 1 (4), 151-168 , 2025
    2025
    Citations: 2
  • The Role of Cloud Technologies in Improving Enterprise Data Management: A Case Study of Intelligent Business Applications
    H khalid
    Dijlah Journal of Engineering Sciences(DJES) 1 (2024), 59-71 , 2024
    2024
  • Modern techniques in detecting, identifying and classifying fruits according to the developed machine learning algorithm
    H khalid
    Journal of Applied Research and Technology 22 (2), 219-229 , 2024
    2024
    Citations: 15
  • Efficient Image Annotation and Caption System Using Deep Convolutional Neural Networks
    H khalid
    BIO Web of Conferences 97 (2024), 8 , 2024
    2024
    Citations: 11
  • Deep learning Algorithm for predicting various retail store sales Using LSTM and ARIMA
    H khalid
    Dijlah Journal 6 (4), 342-362 , 2023
    2023
    Citations: 8
  • Forecasting neural networks, such as forecasting sale the plastic injection machine market
    H Khalid
    Journal of Physics: Conference Series 1963 (1), 012049 , 2021
    2021
    Citations: 1
  • Selecting of Compiler Optimization Sequence Using Genetic Algorithm
    HK Hameed
    Iraqi Journal of Information Technology 10 (1) , 2019
    2019
  • Building Distributed Database System for Development of Students' Exams
    H Khalid
    Al-Mustansiriyah Journal of Science 27 (3), 125-132 , 2016
    2016
    Citations: 1
  • Design and implementation Website Family Doctor Home Advisor
    HK Hameed
    Journal of Engineering and Sustainable Development 19 (3), 16-24 , 2015
    2015
  • Construction Of Drug Company Data System Using Multidimensional Database Insertion
    RA Khalid, HK Hameed
    Journal of Engineering and Sustainable Development 17 (4), 212-219 , 2013
    2013
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Modern techniques in detecting, identifying and classifying fruits according to the developed machine learning algorithm
    H khalid
    Journal of Applied Research and Technology 22 (2), 219-229 , 2024
    2024
    Citations: 15
  • Efficient Image Annotation and Caption System Using Deep Convolutional Neural Networks
    H khalid
    BIO Web of Conferences 97 (2024), 8 , 2024
    2024
    Citations: 11
  • Deep learning Algorithm for predicting various retail store sales Using LSTM and ARIMA
    H khalid
    Dijlah Journal 6 (4), 342-362 , 2023
    2023
    Citations: 8
  • Hybrid CNN-LSTM Model for Real-Time Detection of Zero-Day Attacks in Heterogeneous IoT Networks
    HKWA Alawsi
    Journal of Information Hiding and Multimedia Signal Processing 16 (3), 1058-1069 , 2025
    2025
    Citations: 3
  • Developing Cost-Effective AI Algorithms for Resource-Constrained Devices
    HK Hameed
    International Journal of Computers and Informatics 1 (4), 151-168 , 2025
    2025
    Citations: 2
  • Forecasting neural networks, such as forecasting sale the plastic injection machine market
    H Khalid
    Journal of Physics: Conference Series 1963 (1), 012049 , 2021
    2021
    Citations: 1
  • Building Distributed Database System for Development of Students' Exams
    H Khalid
    Al-Mustansiriyah Journal of Science 27 (3), 125-132 , 2016
    2016
    Citations: 1
  • Construction Of Drug Company Data System Using Multidimensional Database Insertion
    RA Khalid, HK Hameed
    Journal of Engineering and Sustainable Development 17 (4), 212-219 , 2013
    2013
    Citations: 1
  • A Deep Dive into Deep Learning and Machine Learning: A Review Study
    H Khalid
    Journal of Al-Qadisiyah for Computer Science and Mathematics 17 (3), 102–132 , 2025
    2025
  • AI-Driven Near-Lossless Audio Compression Modeling via Autoencoders
    H Khalid
    Al-Rafidain Journal of Engineering Sciences 3 (2), 402-422 , 2025
    2025
  • Anomaly Detection in IoT Networks Using Machine Learning Techniques
    H Khalid
    Dijlah Journal of Engineering Sciences 2 (3), 127 - 136 , 2025
    2025
  • Improving network security and traffic regulation through deep learning systems
    H Khlaid
    International Journal of Modern Research in Engineering and Technology 10 (8 … , 2025
    2025
  • دور تكنولوجيا الكمبيوتر في مكافحة تعاطي المخدرات ‎
    م.هند خالد حميد ‎
    مركز حمورابي للبحوث والدراسات الاستراتيجية , 2025 ‎
    2025
  • The Role of Cloud Technologies in Improving Enterprise Data Management: A Case Study of Intelligent Business Applications
    H khalid
    Dijlah Journal of Engineering Sciences(DJES) 1 (2024), 59-71 , 2024
    2024
  • Selecting of Compiler Optimization Sequence Using Genetic Algorithm
    HK Hameed
    Iraqi Journal of Information Technology 10 (1) , 2019
    2019
  • Design and implementation Website Family Doctor Home Advisor
    HK Hameed
    Journal of Engineering and Sustainable Development 19 (3), 16-24 , 2015
    2015