Search Results - "Daoud, Mohammad"

EEG-Based Emotion Recognition Using Quadratic Time-Frequency Distribution by Alazrai, Rami, Homoud, Rasha, Alwanni, Hisham, Daoud, Mohammad I

“…Accurate recognition and understating of human emotions is an essential skill that can improve the collaboration between humans and machines. In this vein,…”
Get full text

EEG-based BCI system for decoding finger movements within the same hand by Alazrai, Rami, Alwanni, Hisham, Daoud, Mohammad I.

“…•A new EEG-based BCI system is presented for decoding the movements of different fingers within the same hand.•The EEG signals were analyzed using a Quadratic…”
Get full text

Topical and Non-Topical Approaches to Measure Similarity between Arabic Questions by Daoud, Mohammad

“…Questions are crucial expressions in any language. Many Natural Language Processing (NLP) or Natural Language Understanding (NLU) applications, such as…”
Get full text

EEG-Based Brain-Computer Interface for Decoding Motor Imagery Tasks within the Same Hand Using Choi-Williams Time-Frequency Distribution by Alazrai, Rami, Alwanni, Hisham, Baslan, Yara, Alnuman, Nasim, Daoud, Mohammad I

“…This paper presents an EEG-based brain-computer interface system for classifying eleven motor imagery (MI) tasks within the same hand. The proposed system…”
Get full text

Breast Tumor Classification in Ultrasound Images Using Combined Deep and Handcrafted Features by Daoud, Mohammad I, Abdel-Rahman, Samir, Bdair, Tariq M, Al-Najar, Mahasen S, Al-Hawari, Feras H, Alazrai, Rami

“…This study aims to enable effective breast ultrasound image classification by combining deep features with conventional handcrafted features to classify the…”
Get full text

Automatic superpixel-based segmentation method for breast ultrasound images by Daoud, Mohammad I., Atallah, Ayman A., Awwad, Falah, Al-Najjar, Mahasen, Alazrai, Rami

“…•A two-phase, superpixel-based method is proposed for segmenting BUS images.•The first phase employs coarse superpixels to achieve effective tumor…”
Get full text

A Deep Learning Framework for Decoding Motor Imagery Tasks of the Same Hand Using EEG Signals by Alazrai, Rami, Abuhijleh, Motaz, Alwanni, Hisham, Daoud, Mohammad I.

“…This study aims to increase the control's dimensions of the electroencephalography (EEG)-based brain-computer interface (BCI) systems by distinguishing between…”
Get full text

An Edge-Based Selection Method for Improving Regions-of-Interest Localizations Obtained Using Multiple Deep Learning Object-Detection Models in Breast Ultrasound Images by Daoud, Mohammad I., Al-Ali, Aamer, Alazrai, Rami, Al-Najar, Mahasen S., Alsaify, Baha A., Ali, Mostafa Z., Alouneh, Sahel

“…Computer-aided diagnosis (CAD) systems can be used to process breast ultrasound (BUS) images with the goal of enhancing the capability of diagnosing breast…”
Get full text

Reliable and accurate needle localization in curvilinear ultrasound images using signature‐based analysis of ultrasound beamformed radio frequency signals by Daoud, Mohammad I., Abu‐Hani, Ayah F., Alazrai, Rami

“…Purpose Ultrasound imaging is used in many minimally invasive needle insertion procedures to track the advancing needle, but localizing the needle in…”
Get full text

A Game-Based Rehabilitation System for Upper-Limb Cerebral Palsy: A Feasibility Study by Daoud, Mohammad I, Alhusseini, Abdullah, Ali, Mostafa Z, Alazrai, Rami

“…Game-based rehabilitation systems provide an effective tool to engage cerebral palsy patients in physical exercises within an exciting and entertaining…”
Get full text

Accurate Needle Localization Using Two-Dimensional Power Doppler and B-Mode Ultrasound Image Analyses: A Feasibility Study by Daoud, Mohammad I, Shtaiyat, Ahmad, Zayadeen, Adnan R, Alazrai, Rami

“…Curvilinear ultrasound transducers are commonly used in various needle insertion interventions, but localizing the needle in curvilinear ultrasound images is…”
Get full text

(AIAM2019) Artificial Intelligence in Software Engineering and inverse: Review by Shehab, Mohammad, Abualigah, Laith, Jarrah, Muath Ibrahim, Alomari, Osama Ahmad, Daoud, Mohammad Sh

“…Artificial Intelligence (AI) and Software Engineering are considered as significant fields to solve various problems. However, there are weaknesses in certain…”
Get full text

Real-parameter constrained optimization using enhanced quality-based cultural algorithm with novel influence and selection schemes by Al-Gharaibeh, Rami S., Ali, Mostafa Z., Daoud, Mohammad I., Alazrai, Rami, Abdel-Nabi, Heba, Hriez, Safaa, Suganthan, Ponnuthurai N.

“…Hybridization in context to Evolutionary Computation (EC) strives to combine operators, components, and the best merits of different EC paradigms, to form a…”
Get full text

EEG-based tonic cold pain recognition system using wavelet transform by Alazrai, Rami, Momani, Mohammad, Khudair, Hussein Abu, Daoud, Mohammad I.

“…Developing an objective pain identification system can provide caregivers with a second opinion to improve the treatment of patients who are unable to verbally…”
Get full text

Fall Detection for Elderly from Partially Observed Depth-Map Video Sequences Based on View-Invariant Human Activity Representation by Alazrai, Rami, Momani, Mohammad, Daoud, Mohammad

“…This paper presents a new approach for fall detection from partially-observed depth-map video sequences. The proposed approach utilizes the 3D skeletal joint…”
Get full text

Application of MLP neural network to predict X-ray spectrum from tube voltage, filter material, and filter thickness used in medical imaging systems by He, Jie, Zhanjian, Cai, Zheng, Jiadi, Shentong, Mao, Daoud, Mohammad Sh, Hongyu, Zhang, Eftekhari-Zadeh, Ehsan, Guoqiang, Xu

“…The X-ray energy spectrum is crucial for image quality and dosage assessment in mammography, radiography, fluoroscopy, and CT which are frequently used for the…”
Get full text

Needle detection using ultrasound B‐mode and power Doppler analyses by Daoud, Mohammad I., Abu‐Hani, Ayah F., Shtaiyat, Ahmad, Ali, Mostafa Z., Alazrai, Rami

“…Background Ultrasound is employed in needle interventions to visualize the anatomical structures and track the needle. Nevertheless, needle detection in…”
Get full text

A hybrid heuristic–genetic algorithm for task scheduling in heterogeneous processor networks by Daoud, Mohammad I., Kharma, Nawwaf

“…Efficient task scheduling on heterogeneous distributed computing systems (HeDCSs) requires the consideration of the heterogeneity of processors and the…”
Get full text

ANFIS-AMAL: Android Malware Threat Assessment Using Ensemble of ANFIS and GWO by Nwasra, Nedal, Daoud, Mohammad, Qaisar, Zahid Hussain

“…The Android malware has various features and capabilities. Various malware has distinctive characteristics. Ransomware threatens financial loss and system…”
Get full text

A dataset for Wi-Fi-based human-to-human interaction recognition by Alazrai, Rami, Awad, Ali, Alsaify, Baha’A., Hababeh, Mohammad, Daoud, Mohammad I.

“…This paper presents a dataset for Wi-Fi-based human-to-human interaction recognition that comprises twelve different interactions performed by 40 different…”
Get full text