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Data dissemination in VANETs using clustering and probabilistic forwarding based on adaptive jumping multi-objective firefly optimization by Hamdi, Mustafa Maad, Audah, Lukman, Rashid, Sami Abduljabbar

“…This developed multi-objective optimization was designated as adaptive jumping multi-objective firefly algorithm (AJ-MOFA). Afterwards, AJ-MOFA was integrated with a clustering and forwarding mechanism (CFM). …”
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Development of a Universal Artificial Neural Network Model for Pressure Loss Estimation in Pipeline Systems; A comparative Study by Ayoub, Mohammed Abdalla, Demiral, B.M.R

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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Traffic scheduling and link sharing mechanisms for controlled load service / Chin Yun Choong by Chin , Yun Choong

“…The main factors that determine whether a packet scheduling algorithm is able to support integrated services or differentiated services on Internet is the ability to provide bandwidth guarantee. …”
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An integrated priority-based cell attenuation model for dynamic cell sizing by Amphawan, Angela, Omar, Mohd Nizam, Din, Roshidi

“…Real-time predicted mobile traffic from the EFuNN structure was used to control the size of all the cells.Results obtained demonstrate the robustness of the integrated module in recognizing the temporal pattern of the mobile traffic and dynamically controlling the cell size in order to reduce the number of calls dropped.…”
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Improving Network Consistency and Data Availability Using Fuzzy C Mean Clustering Algorithm in Wireless Sensor Networks by Mujahid Tabassum

Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Improving robotic grasping system using deep learning approach by Mohannad K. H., Farag

“…This research aimed to develop a Deep Learning grasp detection model and a slip detection algorithm and integrating them into one innovative robotic grasping system. …”
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Development an accurate and stable range-free localization scheme for anisotropic wireless sensor networks by Han, Fengrong

“…Location information is an integral part of wireless sensor networks, without location information, all received data will lose meaning. …”
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Predictive modelling of wind-influenced dynamic fire spread probability in tank farm due to domino effect by integrating numerical simulation with ANN by Malik, Asher Ahmed, Nasif, Mohammad Shakir, Arshad, Ushtar, Mokhtar, Ainul Akmar, Mohd Tohir, Mohd Zahirasri, Al-Waked, Rafat

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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks by Ukasyah bin Mahamod

Dynamic Occupant Adaptive Energy Management System (DOAEM) for Smart Building by Fizza, Ghulam, Kadir, Kushsairy, Nasir, Haidawati, Shah, Asadullah

“…The main goal of this research is to use dynamic occupancy data to optimize energy consumption. This research introduces a solution that is African Vulture Optimization Algorithm (AVOA) based Dynamic Occupant Adaptive Energy Management System. …”
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Energy-efficient medium access control strategy for cooperative wireless networks by Sami, Mahmoud

“…By doing so, the unlicensed users obtain greater opportunity for data transmission, thus increasing their performance. …”
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AutoPot: An Innovative Urban Gardening with IoT-Enabled Watering System by Mohd Hanifa, Rafizah, Suderman, Muhammad Haiqal, Hamsan, Hanis Nabihah, Amran, Shaza Batrisyia

“…The AutoPot is proposed to address this gap by developing a prototype that leverages IoT technology to optimize watering practices. The AutoPot integrates sensors to monitor soil moisture, humidity, and temperature levels in real-time, automatically activating a water pump when the soil moisture drops below a preset threshold. …”
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Blind Source Separation Using Two-Dimensional Nonnegative Matrix Factorization In Biomedical Field by Toh, Cheng Chuan

“…Blind Source Separation (BSS) refers to the statistical technique of separating a mixture of underlying source signals.BSS denotes as a phenomena and separation on mixed heart-lung sound is one of its example.The challenge of this research is to separate the separate lung sound and heart sound from mixed heart-lung sound.A clear lung sound for diagnosis purpose able to be obtained after separating the mixed heart-lung sound.In biomedical field,lung information is precious due to it has been provided for respiratory diagnosis.However,the interference of heart sound towards lung sound will generate ambiguity and it will lead to drop down the accuracy of diagnosis.Thus,a clean lung sound is needed to increases the accuracy of diagnosis.One of the ways for non-invasive respiratory diagnosis for obtaining lung information is through extracting lung sound from mixed heart-lung sound by using Two-Dimensional Nonnegative Matrix Factorization (NMF2D) algorithm.This method is based on cocktail party effect in which it refers to human brain able to selectively listen to target among a cacophony of conversations and background noise and this considered as a difficult task to machine.Therefore, duplication on cocktail party effect into machine is used to separate the mixed heart-lung sound.This research presents a novel approach NMF2D algorithm in which a suitable model for signal mixture that accommodated the reverberations and nonlinearity of the signals.The objectives of this research are focusing on investigating the useful signal analysis algorithms,defining a new technique of signal separability,designing and developing novel methods for BSS. …”
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Fractal coding of bio-metric image for face authentication by Ahadullah, Md

“…The thesis also compares the results of enough images of various sizes generated by the proposed algorithms with the results of other fractal coding methods to confirm the algorithms’ clarity, reliability and validity. …”
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Tunable Sub-Nanosecond Ultra Wideband Narrow Pulse Generator For Microwave Imaging by Zalzala, Ali Mahdi Jaafar

“…The aforementioned pulse data has been simulated in a locally developed image reconstruction algorithm (EDAS) to detect hypothetical objects and the resultant images show significant quality enhancement in comparison to a Gaussian pulse (or its derivative) with an equivalent duration. …”
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