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

"…The model demonstrates 96% accuracy in detecting healthy conditions and 97% accuracy in detecting medium severity levels. …"

Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques حسب Umesh Kumar Lilhore (17727684)

"…This research work analyses cervical cancer and various risk factors to help detect cervical cancer. The proposed model Boruta with SVM and various popular ML models are implemented using Python and various performance measuring parameters, i.e., accuracy, precision, F 1 – Score , and recall. …"

Advanced Technology in Agriculture Industry by Implementing Image Annotation Technique and Deep Learning Approach: A Review حسب 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. …"

Reputation-based cooperative detection model of selfish nodes in cluster-based QoS-OLSR protocol. (c2014) حسب Moati, Nadia

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OutPyR: Bayesian inference for RNA-Seq outlier detection حسب Edin Salkovic (16891479)

A Machine Learning Based Framework for Real-Time Detection and Mitigation of Sensor False Data Injection Cyber-Physical Attacks in Industrial Control Systems حسب Mariam Elnour (14147790)

"…A MATLAB/Simulink-based simulation model of the process validated with actual data from a local plant is used. …"

Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches حسب Natasha Akram (20749538)

"…In recent studies, traditional machine learning and deep learning algorithms have been implemented to detect fake job postings; this research aims to use two transformer-based deep learning models, i.e., Bidirectional Encoder Representations from Transformers (BERT) and Robustly Optimized BERT-Pretraining Approach (RoBERTa) to detect fake job postings precisely. …"

Simulation study of a coincidence detection system for non-invasive determination of arterial blood time-activity curve measurements حسب Yassine Toufique (8252550)

"…An alternative method is proposed in this work by the simulation of a non-invasive coincidence detection unit.</p><h3>Results</h3><p dir="ltr">We utilized GATE simulations of a human forearm phantom with a blood flow model, as well as a model for dynamic radioactive bolus activity concentration based on clinical measurements. …"

FlashDetR: A deep learning pipeline for early detection and time estimation of flashover in high-voltage insulators using infrared videos حسب Najmath Ottakath (17430912)

End to End Camera only Drone Detection and Tracking Demo within a Multi-agent Framework with a CNN-LSTM Model for Range Estimation حسب De Rochechouart, Maxence

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Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array حسب Amran Hossain (570706)

"…Later, a nine-antenna array-based microwave brain imaging (MBI) system is implemented and investigated by using phantom model. …"

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

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

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

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

"…., 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 حسب Pavlopoulos, Kosmas

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Lightweight intrusion detection for mobile devices. (c2012) حسب Breidi, Fawzi

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Detection of statistically significant network changes in complex biological networks حسب Raghvendra Mall (581171)

"…Several procedures have been recently proposed to detect sub-network differences in pairwise labeled weighted networks.…"

Use of Data Mining Techniques to Detect Fraud in Procurement Sector حسب AL HAMMADI, SUMAYYA ABDULLA

"…The method used in this research is a classification of models and algorithms used in data mining. All techniques also will be studied; they include clustering, tracking patterns, classifications and outlier detection. …"
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IoT empowered smart cybersecurity framework for intrusion detection in internet of drones حسب Syeda Nazia Ashraf (17541222)

"…Furthermore, the model's performance was evaluated using well-known drones’ CICIDS2017, and KDDCup 99 datasets. …"

Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts حسب ALSHAMSI, SUROUR

"…In addition, it implies carrying out the training and testing process in each phase. Since the best model is obtained from training, each time it is performed for a given phase, the model is adjusted to detect new attacks. …"
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