INTRUSION DETECTION IN MOBILE AD-HOC NETWORK IMPLEMENTATION AND PERFORMANCE EVALUATION OF ADAPTIVE ACKNOWLEDGMENT APPROACH by Al-Roubaie, Anas A.

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INTRUSION DETECTION IN MOBILE AD-HOC NETWORK IMPLEMENTATION AND PERFORMANCE EVALUATION OF ADAPTIVE ACKNOWLEDGMENT APPROACH by Al-Roubaie, Anas A.

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Advanced Technology in Agriculture Industry by Implementing Image Annotation Technique and Deep Learning Approach: A Review by Normaisharah Mamat (19517623)

“…<p dir="ltr">The implementation of intelligent technology in agriculture is seriously investigated as a way to increase agriculture production while reducing the amount of human labor. …”

Chip Level Implementation of a Digital Radar System by Al-Alem, Yazan

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Hardware design and VLSI implementation of a byte-wise CRCgenerator chip by Sait, Sadiq M.

“…The hardware design and VLSI implementation of a byte-wise CRC generator is presented. …”
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HARDWARE DESIGN AND VLSI IMPLEMENTATION OF A BYTE-WISE CRC GENERATOR CHIP by Sait, Sadiq M.

“…In this paper the ahrdware design and VLSi implementation of a byte-wise CRC generator is presented. …”
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The Role of Neural Network for the Detection of Parkinson’s Disease: A Scoping Review by Mahmood Saleh Alzubaidi (18456723)

DeMi: A Solution to Detect and Mitigate DoS Attacks in SDN by Lubna Fayez Eliyan (17949290)

“…The proposed solution for detection leverages a sample entropy approach coupled with an adaptive dynamic threshold considering an exponentially weighted moving average (EWMA); the mitigation approach is based on proof of work (PoW) combined with flow rule installations; and, the heavy-load management method implements a scheduling approach at the SDN controller. …”

A machine learning approach on chest X-rays for pediatric pneumonia detection by Barakat, Natali Imad

“…Thus, there is a significant need for automating the detection process to minimize the potential human error. …”
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A Machine Learning Approach on Chest X-Rays for Pediatric Pneumonia Detection by Barakat, Natali Imad

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1D convolutional neural networks and applications: A survey by Serkan Kiranyaz (3762058)

“…Another major advantage is that a real-time and low-cost hardware implementation is feasible due to the simple and compact configuration of 1D CNNs that perform only 1D convolutions (scalar multiplications and additions). …”

Artificial Intelligence for Detecting and Quantifying Fatty Liver in Ultrasound Images: A Systematic Review by Fahad Muflih Alshagathrh (18427950)

“…</p><p> </p></div><h2>Other Information</h2> <p> Published in: Bioengineering<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/bioengineering9120748" target="_blank">https://dx.doi.org/10.3390/bioengineering9120748</a></p>…”

Fast Detection and Tracking of a Moving Transmitter via Visible Light Communication Link by Moaaz Ahmed (16875921)

“…The implemented architecture maximizes the data rate and can maintain a BER of 1.9 × 10 ^-4 while passively detecting and tracking the moving transmitter undergoing worst-case road vibration of 30.6 mm/s. …”

A Novel Deep Learning Model for Detection of Severity Level of the Disease in Citrus Fruits by Poonam Dhiman (12889038)

“…Transfer learning using VGGNet is applied to implement a multi-classification framework for each class of severity. …”

Unsupervised outlier detection in multidimensional data by Atiq ur Rehman (14153391)

“…The newly proposed ideas are found efficient in terms of performance, ease of implementation, and computational complexity. Furthermore, two proposed techniques presented in this paper use transformation of data to a unidimensional distance space to detect the outliers, so irrespective of the data’s high dimensions, the techniques remain computationally inexpensive and feasible. …”

A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI by Oishi Jyoti (21593819)

A novel virtual patient approach for cross-patient multimodal fusion in enhanced breast cancer detection by Younes Akbari (16303286)

“…<p>Multimodal medical imaging combining conventional imaging modalities such as mammography, ultrasound, and histopathology has shown significant promise for improving breast cancer detection accuracy. However, clinical implementation faces substantial challenges due to incomplete patient-matched multimodal datasets and resource constraints. …”

Audio-deepfake detection: Adversarial attacks and countermeasures by Mouna Rabhi (17086969)

“…In particular, we design two adversarial attacks on a state-of-the-art audio-deepfake classifier, i.e., the Deep4SNet classification model, which achieves 98.5% accuracy in detecting fake audio samples. …”

Holocene lithostratigraphy and its implementation in the geoarchaeological research of the Athenian Basin, Greece by Pavlopoulos, Kosmas

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Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection by Mamun Or Rashid (21976373)

“…To address these challenges, we propose a novel model, Self-DSNet, for efficient driving distraction detection. …”