Yaghoub Farjami

Adaptive Multimodal Biometric Identification: A Lightweight CNN Approach with Confidence-based Score Fusion

Ahmed Al-Safi, Yaghoub Farjami

Getting a biometric system to be both accurate and fast is harder than it looksmost designs sacrifice one for the other.The standard workaround is to run all modalities every timeeffective, but wasteful.We pair face and hand recognition on the MULBv1 dataset, with …

ir (code pays fourni par la source)

Early Diagnosis of Alzheimer’s Disease USING DEEP learning MRI Images: A Systematic Review

Ali Kareem Obaid, Yaghoub Farjami

Alzheimer's disease AD, also known as dementia, is a disease resulting from an irreversible brain disorder that can develop gradually as the patient ages. Its distinguishing features include cognitive decline, memory loss, and psychological problems. Early diagnosis of this disease becomes difficult …

ir (code pays fourni par la source)

A Real-Time GUI Platform for Neural Signal Transmission: Design, Resource Profiling, and Usability

Laith H. Jasim Alzubaidi, Yaghoub Farjami, Mohsen Akbarpour Beni

Neural decoding systems often achieve strong offline performance, yet many fail to translate that performance into reliable real-time operation due to fragmented pipelines, limited reproducibility, and insufficient visibility into computational costs. This paper presents a real-time graphical user interface (GUI) platform for …

ir (code pays fourni par la source)

Quasi-optimal decision trees: bridging greedy heuristics and global optimization

Mahdi Nazaari Alikorzani, Yaghoub Farjami, Ali Asghar Foroughi

ir (code pays fourni par la source)

Noise‐Resilient Hybrid ESN ‐ LSTM Pipeline for Neural Signal Transmission

Laith H. Jasim Alzubaidi, Yaghoub Farjami, Mohsen Akbarpour Beni

ABSTRACT Dependable transfer of brain signals from motor imagery EEG must adhere to strict latency and memory constraints while maintaining accuracy in the face of noise and drift. A hybrid Echo State Network‐Long Short‐Term Memory (ESN‐LSTM) pipeline is shown here. This pipeline …

ir, iq (code pays fourni par la source)

Lightweight Federated Learning with Genetic Optimization for PM 2.5 Forecasting in IoT Networks

Hadi Nazari, Yaghoub Farjami, Ali TaeiZadeh

ir (code pays fourni par la source)

Developing an Ultrasonic Approach for Bone Density Assessment Via Diffracted Pulse Strength Analysis

Yaghoub Farjami

An ultrasonic bone density measurement is a radiation-free alternative to conventional methods like dual-energy X-ray absorptiometry (DXA). This research investigates the feasibility of bone density estimation from features of ultrasound signals using machine learning. A 1000-sample dataset characterized by features like bone …

ir (code pays fourni par la source)

A Hard Voting Ensemble Model of the Logistic Regression, Support Vector Machine and Random Forest for Network Intrusion Detection

Jasim Mohammed Dahr, Yaghoub Farjami

The rapid evolving landscape of cybersecurity, the need for robust and efficient intrusion detection systems (IDS) has never been more critical. The real-time network traffic environments are plagued with the challenges posed by traffic routing and complex network behaviours. To this end, …

iq, ir (code pays fourni par la source)

Optimizing Facial Recognition Systems for Large Populations: Insights from Public Target Detection Methods

Safaa Hakeem Obaid Alkhafaji, Yaghoub Farjami, Rouhollah Dianat

Inspired by findings in the public target detection regime, this study proposes to improve facial recognition system performance in large population by drawing insight and blending practical methods. The research goals consist of developing and testing optimized procedures to increase accuracy and …

ir (code pays fourni par la source)

An Integrated Deep Learning Framework Combining LSTM-CRF, GRU-CRF, and CNN-CRF with Word Embedding Techniques for Arabic Named Entity Recognition

Mahdi Ahmed Ali, Ahmed Bahaaulddin A. Alwahhab, Yaghoub Farjami

Named entity recognition (NER) is the main function of natural language processing (NLP) and has many applications. Arabic NER systems aim to identify and classify Arabic NEs in Arabic text, which provide unique problems due to the language's complex morphology and syntactic …

An efficient cloud manufacturing service composition approach using deep reinforcement learning

Mohammad Moein Fazeli, Yaghoub Farjami, Amir Jalaly Bidgoly

ir (code pays fourni par la source)

ASSOCIATE: A simulator for assessing soft security in the Cognitive Internet of Things

Masoud Narimani Zaman Abadi, Amir Jalaly Bidgoly, Yaghoub Farjami

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