| Author |
Session |
Start page |
Title |
| A A B C D E F G H J K L M N O P R S T U V W Y Z |
| A, Amsaveni |
S7.4 |
226 |
Enhanced Fault Detection and Classification of Wind Turbine Blades Using Machine Learning |
| Aalmohamed, Hamdah |
S5.4 |
157 |
Application of Big Data in Cybersecurity |
| Abdallah, Saeed |
S5.1 |
140 |
Enhanced Channel Estimation for Multi-Tag Ambient Backscatter Communication Systems |
| S9.1 |
310 |
Abnormal Driver Behavior Detection Using Deep Learning |
| Abdellatif, Youssef |
S6.2 |
181 |
Automating Cyber Defense: Enhancing Threat Intelligence with AI-Driven Annotation |
| Abdulaziz, Nidhal |
S1.3 |
13 |
BeeBetter: A Multi-Modular Beehive System for Honeybee Health Monitoring and Hazard Detection |
| S10.5 |
299 |
AI-Powered Autonomous Building Cleaning Robots |
| S9.2 |
314 |
Development and Evaluation of Nao Humanoid Robot for Rehabilitation Therapy |
| Abul, Osman |
S9.7 |
341 |
Generalizable Spatiotemporal Deepfake Detection with Late-Fusion |
| Acakpovi, Amevi |
S2.6 |
64 |
Artificial Neural Network-Based IoT Device for Predicting the Electromagnetic Compatibility |
| Adamova, Aigul |
S6.6 |
203 |
Design of Intrusion Detection and Security Enhancements in Military Wireless Sensor Networks |
| Ahmad, Ubaid |
S1.6 |
30 |
Fall Detection Using Wi-Fi Channel State Information |
| Ahmed, Abduselam |
S7.3 |
220 |
Performance Evaluation of Deep Learning Models for Real-Time Trash Classification on Embedded Device |
| Ahmed, Motamen |
S3.1 |
70 |
Sea Water Salinity Estimation over Dubai Using Satellite Imagery & WASI Empirical Model Approach |
| Akkal, Maroua |
S5.6 |
169 |
An Intrusion Detection System for Detecting DDoS Attacks in Blockchain-Enabled IoMT Networks |
| Al Ali, Fatma |
S9.1 |
310 |
Abnormal Driver Behavior Detection Using Deep Learning |
| Al Ali, Hannah |
S3.2 |
76 |
Data-Driven Predictive Analytics for Multi-Flight Departure Interdependencies in UAE Airspace |
| Al Hamadi, Hussam |
S4.2 |
110 |
Optimized Shape Design of a Dual-Band Circular Slot High Gain Array Antenna Using Genetic Algorithm |
| Al-Ahmad, Hussain |
S7.2 |
215 |
Automated Cuneiform Symbol Detection and Translation Using Deep Learning Techniques |
| S7.6 |
237 |
Analysing Osteoporosis Detection: A Comparative Study of CNN and FNN |
| Al-Ali, Naema |
S1.2 |
7 |
Bilingual Speech Recognition on the Edge Using Machine Learning |
| Al-Ali, Reem |
S3.1 |
70 |
Sea Water Salinity Estimation over Dubai Using Satellite Imagery & WASI Empirical Model Approach |
| Al-Ali, Salama Al-Ali |
S7.1 |
209 |
Deep Learning Based UAV Assisted Distributed Platform for Crowd Source Management |
| Al-Saad, Mina |
S7.2 |
215 |
Automated Cuneiform Symbol Detection and Translation Using Deep Learning Techniques |
| Alam, Mohammad |
S10.6 |
304 |
Detecting Brain Cancer Using Explainable AI |
| Alawadhi, Reem |
S5.4 |
157 |
Application of Big Data in Cybersecurity |
| Alawadhi, Sara |
S9.1 |
310 |
Abnormal Driver Behavior Detection Using Deep Learning |
| Albreem, Mahmoud |
S5.1 |
140 |
Enhanced Channel Estimation for Multi-Tag Ambient Backscatter Communication Systems |
| Aldhaheri, Lameya |
S2.1 |
35 |
Smart Soil Monitoring: Leveraging LoRa-Based IoT for Sustainable Agriculture 4.0 |
| S2.2 |
40 |
Localization Performance Analysis in Agriculture 4.0 Utilizing Low Earth Orbit (LEO) Satellites |
| Aldhaheri, Meera Saeed Obaid |
S7.1 |
209 |
Deep Learning Based UAV Assisted Distributed Platform for Crowd Source Management |
| Alemadi, Alia |
S3.1 |
70 |
Sea Water Salinity Estimation over Dubai Using Satellite Imagery & WASI Empirical Model Approach |
| Alfalasi, Hamad |
S9.7 |
341 |
Generalizable Spatiotemporal Deepfake Detection with Late-Fusion |
| Alfili, Tareq |
S3.6 |
99 |
Machine Learning-Driven Fault Detection System for Electrical Networks |
| Alhashemi, Sara |
S5.4 |
157 |
Application of Big Data in Cybersecurity |
| Ali, Nazar |
S1.2 |
7 |
Bilingual Speech Recognition on the Edge Using Machine Learning |
| Alkhawaldeh, Mohammed |
S4.6 |
134 |
Anti-Forensic Challenges in Digital Forensics Investigations: An Overview of Techniques and Tools |
| Alkhazaleh, Hamzah |
S5.4 |
157 |
Application of Big Data in Cybersecurity |
| AlmeqbaalI, Mariam Salem Saeed |
S7.1 |
209 |
Deep Learning Based UAV Assisted Distributed Platform for Crowd Source Management |
| Almohammedi, Ali |
S4.1 |
104 |
Connected Graph Multitask Diffusion LMS via Orthonormal Codes in Ad-Hoc Networks |
| Alnuaimi, Mouza |
S9.1 |
310 |
Abnormal Driver Behavior Detection Using Deep Learning |
| Alqattam Alzaabi, Sara |
S1.2 |
7 |
Bilingual Speech Recognition on the Edge Using Machine Learning |
| Alshahrani, Mesfer |
S7.5 |
231 |
GuardNet: An Ensemble-Based Malware Detection Model Using Machine Learning |
| Alshehhi, Noor |
S2.1 |
35 |
Smart Soil Monitoring: Leveraging LoRa-Based IoT for Sustainable Agriculture 4.0 |
| S2.2 |
40 |
Localization Performance Analysis in Agriculture 4.0 Utilizing Low Earth Orbit (LEO) Satellites |
| Alteneiji, Aysha |
S1.2 |
7 |
Bilingual Speech Recognition on the Edge Using Machine Learning |
| S1.6 |
30 |
Fall Detection Using Wi-Fi Channel State Information |
| Alzahmi, Aisha |
S1.2 |
7 |
Bilingual Speech Recognition on the Edge Using Machine Learning |
| Alzarouni, Sarah |
S3.1 |
70 |
Sea Water Salinity Estimation over Dubai Using Satellite Imagery & WASI Empirical Model Approach |
| Amin, Saad |
S8.2 |
248 |
Performance Evaluation of Image Enhancement Techniques on Transfer Learning for Touchless Fingerprin |
| S8.3 |
254 |
A Driver Rating System Based on Driving Pattern |
| Annane, Boubakeur |
S5.6 |
169 |
An Intrusion Detection System for Detecting DDoS Attacks in Blockchain-Enabled IoMT Networks |
| Arul Jothi, Angel |
S5.2 |
145 |
Predicting Chargeback Fraud Using Data Mining Techniques |
| Ashish, Mani |
S1.1 |
1 |
Towards Quantum-Inspired Evolutionary Algorithms for Denoising PCG Signals |
| Atalla, Shadi |
S5.3 |
151 |
Blockchain-Powered Asset Tokenization Platform |
| S6.3 |
186 |
Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection |
| Atef, Mohamed |
S1.4 |
18 |
Heart Rate Estimation from Photoplethysmography Signals Using Fast Fourier Transform |
| S1.5 |
24 |
Camera-Based Remote Heart Rate Monitoring Using Photoplethysmography |
| Azzouz, Abdelbasset |
S4.2 |
110 |
Optimized Shape Design of a Dual-Band Circular Slot High Gain Array Antenna Using Genetic Algorithm |
| B A B C D E F G H J K L M N O P R S T U V W Y Z |
| Banik, Debajyoty |
S2.4 |
52 |
Time-Decay Attribution Model Using Half-Life in Exponential Decay for E-Commerce Conversion Analysis |
| Benachour, Yassine |
S7.3 |
220 |
Performance Evaluation of Deep Learning Models for Real-Time Trash Classification on Embedded Device |
| Benakcha, Iheb |
S9.3 |
320 |
Neuromuscular Disease Detection from Electromyograms Using Convolutional and Recurrent Neural Nets |
| Bhatia, Sajal |
S7.5 |
231 |
GuardNet: An Ensemble-Based Malware Detection Model Using Machine Learning |
| Bin Ozair Almheiri, Maryam |
S1.2 |
7 |
Bilingual Speech Recognition on the Edge Using Machine Learning |
| Biswas, Ritujoy |
S8.1 |
243 |
Exploiting Combination of Spectral Features in Light Weight Neural Network for ABE on Limited Data |
| Bouhmidi, Rachid |
S4.2 |
110 |
Optimized Shape Design of a Dual-Band Circular Slot High Gain Array Antenna Using Genetic Algorithm |
| Boutellaa, Elhocine |
S9.3 |
320 |
Neuromuscular Disease Detection from Electromyograms Using Convolutional and Recurrent Neural Nets |
| C A B C D E F G H J K L M N O P R S T U V W Y Z |
| Caviglia, Daniele |
S10.3 |
289 |
Noncontact Measurement of Sea Wave Dynamics and Velocity Estimation with a Low-Cost FMCW Radar |
| Celestin, Twizere |
S2.6 |
64 |
Artificial Neural Network-Based IoT Device for Predicting the Electromagnetic Compatibility |
| Chawraba, Assil |
S10.3 |
289 |
Noncontact Measurement of Sea Wave Dynamics and Velocity Estimation with a Low-Cost FMCW Radar |
| Cherbal, Sarra |
S5.6 |
169 |
An Intrusion Detection System for Detecting DDoS Attacks in Blockchain-Enabled IoMT Networks |
| Copiaco, Abigail |
S3.6 |
99 |
Machine Learning-Driven Fault Detection System for Electrical Networks |
| S10.1 |
277 |
Machine Learning Analysis of Atmospheric Effects on Electromagnetic Wave Propagation in the UAE |
| D A B C D E F G H J K L M N O P R S T U V W Y Z |
| Deriche, Mohamed |
S4.1 |
104 |
Connected Graph Multitask Diffusion LMS via Orthonormal Codes in Ad-Hoc Networks |
| Dey, Suman Kr. |
S2.4 |
52 |
Time-Decay Attribution Model Using Half-Life in Exponential Decay for E-Commerce Conversion Analysis |
| Doodipala, Shreya |
S5.2 |
145 |
Predicting Chargeback Fraud Using Data Mining Techniques |
| E A B C D E F G H J K L M N O P R S T U V W Y Z |
| Elamassie, Mohammed |
S4.4 |
122 |
Dual-Channel Visible Light Communication System for Enhanced V2V Video Streaming |
| Elmir, Youssef |
S10.2 |
283 |
Evaluating Outputs Fusion Technique in Multimodal Human Activity Recognition |
| Elshehaby, Shahad |
S7.2 |
215 |
Automated Cuneiform Symbol Detection and Translation Using Deep Learning Techniques |
| F A B C D E F G H J K L M N O P R S T U V W Y Z |
| Farrag, Mohamed |
S6.1 |
175 |
Bluffing the Hackers: Automated Decoy Creation and Real-Time Cyber Deception |
| Flitti, Farid |
S7.3 |
220 |
Performance Evaluation of Deep Learning Models for Real-Time Trash Classification on Embedded Device |
| G A B C D E F G H J K L M N O P R S T U V W Y Z |
| Gadhafi, Rida |
S10.1 |
277 |
Machine Learning Analysis of Atmospheric Effects on Electromagnetic Wave Propagation in the UAE |
| Ganchev, Ivan |
S9.4 |
325 |
Novel SSD-Based Models for Detection of Multidimensional Pulmonary Nodules in CT Images |
| S9.5 |
331 |
Impact of Channel Numbers and Training Epochs on U-Net's Polyp Segmentation Performance |
| Gatera, Omar |
S2.6 |
64 |
Artificial Neural Network-Based IoT Device for Predicting the Electromagnetic Compatibility |
| Gawanmeh, Amjad |
S5.6 |
169 |
An Intrusion Detection System for Detecting DDoS Attacks in Blockchain-Enabled IoMT Networks |
| Ghaoud, Tareg |
S3.1 |
70 |
Sea Water Salinity Estimation over Dubai Using Satellite Imagery & WASI Empirical Model Approach |
| Gourisaria, Mahendra |
S2.4 |
52 |
Time-Decay Attribution Model Using Half-Life in Exponential Decay for E-Commerce Conversion Analysis |
| Guruprasad, Rachit Raam |
S6.4 |
192 |
Data Analysis of Dark Web Marketplaces Using Machine Learning |
| H A B C D E F G H J K L M N O P R S T U V W Y Z |
| Hadid, Abdenour |
S9.3 |
320 |
Neuromuscular Disease Detection from Electromyograms Using Convolutional and Recurrent Neural Nets |
| Hamdan, Mohammad |
S8.5 |
266 |
Generative Adversarial Networks for Speech Enhancement |
| Hammami, Hamze |
S1.3 |
13 |
BeeBetter: A Multi-Modular Beehive System for Honeybee Health Monitoring and Hazard Detection |
| Hao, Shengnan |
S9.4 |
325 |
Novel SSD-Based Models for Detection of Multidimensional Pulmonary Nodules in CT Images |
| Hashem, Ibrahim |
S9.7 |
341 |
Generalizable Spatiotemporal Deepfake Detection with Late-Fusion |
| Hwata, Chiedza |
S2.6 |
64 |
Artificial Neural Network-Based IoT Device for Predicting the Electromagnetic Compatibility |
| J A B C D E F G H J K L M N O P R S T U V W Y Z |
| Jaiswal, Akash |
S10.5 |
299 |
AI-Powered Autonomous Building Cleaning Robots |
| Jameela Manzil, Irfana Ilyas |
S2.1 |
35 |
Smart Soil Monitoring: Leveraging LoRa-Based IoT for Sustainable Agriculture 4.0 |
| Javeed, Madiha |
S4.5 |
128 |
A Robust Fraud Detection System Using Deep Belief Network and Restricted Boltzmann Machines |
| Ji, Zhanlin |
S9.4 |
325 |
Novel SSD-Based Models for Detection of Multidimensional Pulmonary Nodules in CT Images |
| S9.5 |
331 |
Impact of Channel Numbers and Training Epochs on U-Net's Polyp Segmentation Performance |
| K A B C D E F G H J K L M N O P R S T U V W Y Z |
| K, Sowmiya |
S7.4 |
226 |
Enhanced Fault Detection and Classification of Wind Turbine Blades Using Machine Learning |
| Karabayev, Nurdaulet |
S6.6 |
203 |
Design of Intrusion Detection and Security Enhancements in Military Wireless Sensor Networks |
| Kashikar, Raj |
S10.4 |
293 |
Neuro-Symbolic AI for Self-Evolving Signal Processing in Autonomous Communication Systems |
| Kechadi, Tahar |
S10.2 |
283 |
Evaluating Outputs Fusion Technique in Multimodal Human Activity Recognition |
| Khaja, Tayeb |
S3.1 |
70 |
Sea Water Salinity Estimation over Dubai Using Satellite Imagery & WASI Empirical Model Approach |
| Khalil, Ruhul Amin |
S2.2 |
40 |
Localization Performance Analysis in Agriculture 4.0 Utilizing Low Earth Orbit (LEO) Satellites |
| Khanna, Abhirup |
S2.3 |
46 |
Federated Multi-Agent Reinforcement Learning for Incentive-Based DRS over Microgrids |
| S2.5 |
58 |
Sustainable Industrial Energy Management: Multi-Agent Deep RL with GA and Digital Twins |
| Kharoubi, Kamir |
S5.6 |
169 |
An Intrusion Detection System for Detecting DDoS Attacks in Blockchain-Enabled IoMT Networks |
| Kim, Taehyeon |
S4.3 |
116 |
Wifi Channel State Information Sensing Based on Introspective Metric Learning |
| Krini, Mohammed |
S8.1 |
243 |
Exploiting Combination of Spectral Features in Light Weight Neural Network for ABE on Limited Data |
| Krishnan, Vineeth |
S3.1 |
70 |
Sea Water Salinity Estimation over Dubai Using Satellite Imagery & WASI Empirical Model Approach |
| S3.4 |
87 |
Convolutional Deep Learning Hierarchical Classifier to Identify Synoptic Sky Conditions Based on Sky |
| S3.5 |
93 |
A CNN-Based Classifier for Quality Image Selection from Sky Cameras |
| Kumar, Karthick |
S6.3 |
186 |
Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection |
| Kumar, Priyaranjan |
S8.6 |
271 |
SeizureNet-BiLSTM: A Hybrid Deep Learning Framework for Identifying Ictal and Interictal Phases |
| Kurup, Abhishek |
S3.1 |
70 |
Sea Water Salinity Estimation over Dubai Using Satellite Imagery & WASI Empirical Model Approach |
| L A B C D E F G H J K L M N O P R S T U V W Y Z |
| Lakhlef, Hicham |
S5.6 |
169 |
An Intrusion Detection System for Detecting DDoS Attacks in Blockchain-Enabled IoMT Networks |
| M A B C D E F G H J K L M N O P R S T U V W Y Z |
| M, Bharathi |
S7.4 |
226 |
Enhanced Fault Detection and Classification of Wind Turbine Blades Using Machine Learning |
| M, Parisa |
S7.6 |
237 |
Analysing Osteoporosis Detection: A Comparative Study of CNN and FNN |
| M, Prabhananthakumar |
S6.3 |
186 |
Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection |
| M Anzar, S |
S8.2 |
248 |
Performance Evaluation of Image Enhancement Techniques on Transfer Learning for Touchless Fingerprin |
| Mahesh, CH |
S3.2 |
76 |
Data-Driven Predictive Analytics for Multi-Flight Departure Interdependencies in UAE Airspace |
| Maheshwari, Piyush |
S2.3 |
46 |
Federated Multi-Agent Reinforcement Learning for Incentive-Based DRS over Microgrids |
| S2.5 |
58 |
Sustainable Industrial Energy Management: Multi-Agent Deep RL with GA and Digital Twins |
| Manandhar, Prajowal |
S3.4 |
87 |
Convolutional Deep Learning Hierarchical Classifier to Identify Synoptic Sky Conditions Based on Sky |
| S3.5 |
93 |
A CNN-Based Classifier for Quality Image Selection from Sky Cameras |
| Mansoor, Wathiq |
S6.3 |
186 |
Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection |
| S7.6 |
237 |
Analysing Osteoporosis Detection: A Comparative Study of CNN and FNN |
| S10.1 |
277 |
Machine Learning Analysis of Atmospheric Effects on Electromagnetic Wave Propagation in the UAE |
| S10.6 |
304 |
Detecting Brain Cancer Using Explainable AI |
| Matsumura, Taisei |
S6.5 |
198 |
Explainable Anomaly Detection Method Using LLM Embeddings Model with SHAP |
| Mitsunaga, Takuho |
S6.5 |
198 |
Explainable Anomaly Detection Method Using LLM Embeddings Model with SHAP |
| Mohammad, Ibrahim |
S4.6 |
134 |
Anti-Forensic Challenges in Digital Forensics Investigations: An Overview of Techniques and Tools |
| Mohammedhussain, Rizwan |
S3.3 |
81 |
Enhancing Distribution Network Reliability Through IoT-Driven Alarm Systems |
| Mohan, Neethu |
S1.4 |
18 |
Heart Rate Estimation from Photoplethysmography Signals Using Fast Fourier Transform |
| S1.5 |
24 |
Camera-Based Remote Heart Rate Monitoring Using Photoplethysmography |
| Mukhtar, Husameldin |
S3.6 |
99 |
Machine Learning-Driven Fault Detection System for Electrical Networks |
| S10.1 |
277 |
Machine Learning Analysis of Atmospheric Effects on Electromagnetic Wave Propagation in the UAE |
| Murugan, Thangavel |
S5.5 |
163 |
Research Study on DNA-Based Cryptosystem for Cloud, IoT, and Edge Computing Networks |
| Muthalagu, Raja |
S5.3 |
151 |
Blockchain-Powered Asset Tokenization Platform |
| S8.3 |
254 |
A Driver Rating System Based on Driving Pattern |
| N A B C D E F G H J K L M N O P R S T U V W Y Z |
| N, Nasurudeen Ahamed |
S5.5 |
163 |
Research Study on DNA-Based Cryptosystem for Cloud, IoT, and Edge Computing Networks |
| Nasar, Amer |
S4.6 |
134 |
Anti-Forensic Challenges in Digital Forensics Investigations: An Overview of Techniques and Tools |
| Nasir, Nida |
S4.2 |
110 |
Optimized Shape Design of a Dual-Band Circular Slot High Gain Array Antenna Using Genetic Algorithm |
| Nasser, Faris |
S1.6 |
30 |
Fall Detection Using Wi-Fi Channel State Information |
| Nathwani, Karan |
S8.1 |
243 |
Exploiting Combination of Spectral Features in Light Weight Neural Network for ABE on Limited Data |
| Nyakuli, Jean Pierre |
S2.6 |
64 |
Artificial Neural Network-Based IoT Device for Predicting the Electromagnetic Compatibility |
| O A B C D E F G H J K L M N O P R S T U V W Y Z |
| Okada, Satoshi |
S6.5 |
198 |
Explainable Anomaly Detection Method Using LLM Embeddings Model with SHAP |
| P A B C D E F G H J K L M N O P R S T U V W Y Z |
| Pachori, Ram Bilas |
S9.8 |
347 |
A Simple Automated VT/VF Detection Method for Resource-Constrained Arrhythmia Monitoring Devices |
| Panda, Asit |
S8.4 |
260 |
Impulse Radio UWB Radar-Based Respiration Rate Estimation Method Under Clutter Environments |
| Pang, Jianhua |
S9.4 |
325 |
Novel SSD-Based Models for Detection of Multidimensional Pulmonary Nodules in CT Images |
| Panthakkan, Alavikunhu |
S5.3 |
151 |
Blockchain-Powered Asset Tokenization Platform |
| S6.3 |
186 |
Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection |
| S7.2 |
215 |
Automated Cuneiform Symbol Detection and Translation Using Deep Learning Techniques |
| S7.6 |
237 |
Analysing Osteoporosis Detection: A Comparative Study of CNN and FNN |
| S8.2 |
248 |
Performance Evaluation of Image Enhancement Techniques on Transfer Learning for Touchless Fingerprin |
| S8.3 |
254 |
A Driver Rating System Based on Driving Pattern |
| Park, Se-Ho |
S4.3 |
116 |
Wifi Channel State Information Sensing Based on Introspective Metric Learning |
| Pawar, Pranav |
S5.3 |
151 |
Blockchain-Powered Asset Tokenization Platform |
| S8.3 |
254 |
A Driver Rating System Based on Driving Pattern |
| PD, Dilavar |
S8.2 |
248 |
Performance Evaluation of Image Enhancement Techniques on Transfer Learning for Touchless Fingerprin |
| Petros, Fanuel |
S7.3 |
220 |
Performance Evaluation of Deep Learning Models for Real-Time Trash Classification on Embedded Device |
| Philippe, Mikael |
S10.1 |
277 |
Machine Learning Analysis of Atmospheric Effects on Electromagnetic Wave Propagation in the UAE |
| Phukan, Nabasmita |
S9.8 |
347 |
A Simple Automated VT/VF Detection Method for Resource-Constrained Arrhythmia Monitoring Devices |
| Pillai, Deepangika |
S9.2 |
314 |
Development and Evaluation of Nao Humanoid Robot for Rehabilitation Therapy |
| Pomares, Luis |
S3.1 |
70 |
Sea Water Salinity Estimation over Dubai Using Satellite Imagery & WASI Empirical Model Approach |
| S3.4 |
87 |
Convolutional Deep Learning Hierarchical Classifier to Identify Synoptic Sky Conditions Based on Sky |
| S3.5 |
93 |
A CNN-Based Classifier for Quality Image Selection from Sky Cameras |
| Poon, Kin |
S1.2 |
7 |
Bilingual Speech Recognition on the Edge Using Machine Learning |
| S1.6 |
30 |
Fall Detection Using Wi-Fi Channel State Information |
| Punjabi, Prateek |
S8.5 |
266 |
Generative Adversarial Networks for Speech Enhancement |
| R A B C D E F G H J K L M N O P R S T U V W Y Z |
| R, Geetha |
S7.6 |
237 |
Analysing Osteoporosis Detection: A Comparative Study of CNN and FNN |
| R, Tamilselvi |
S7.6 |
237 |
Analysing Osteoporosis Detection: A Comparative Study of CNN and FNN |
| Rahate, Mrudula |
S5.2 |
145 |
Predicting Chargeback Fraud Using Data Mining Techniques |
| Rahman, Abdul |
S10.6 |
304 |
Detecting Brain Cancer Using Explainable AI |
| Ramachandran, Balaji |
S3.3 |
81 |
Enhancing Distribution Network Reliability Through IoT-Driven Alarm Systems |
| Randazzo, Andrea |
S10.3 |
289 |
Noncontact Measurement of Sea Wave Dynamics and Velocity Estimation with a Low-Cost FMCW Radar |
| Rao, Pratham |
S6.4 |
192 |
Data Analysis of Dark Web Marketplaces Using Machine Learning |
| Rapate, Gauri |
S6.4 |
192 |
Data Analysis of Dark Web Marketplaces Using Machine Learning |
| Rezk, Mahmoud |
S3.4 |
87 |
Convolutional Deep Learning Hierarchical Classifier to Identify Synoptic Sky Conditions Based on Sky |
| S3.5 |
93 |
A CNN-Based Classifier for Quality Image Selection from Sky Cameras |
| Rushingabigwi, Gerard |
S2.6 |
64 |
Artificial Neural Network-Based IoT Device for Predicting the Electromagnetic Compatibility |
| S A B C D E F G H J K L M N O P R S T U V W Y Z |
| S, Arulselvi |
S7.6 |
237 |
Analysing Osteoporosis Detection: A Comparative Study of CNN and FNN |
| S, Rathnamala |
S6.3 |
186 |
Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection |
| Saad, Mohamed |
S5.1 |
140 |
Enhanced Channel Estimation for Multi-Tag Ambient Backscatter Communication Systems |
| Sabarimalai Manikandan, M |
S8.4 |
260 |
Impulse Radio UWB Radar-Based Respiration Rate Estimation Method Under Clutter Environments |
| S9.8 |
347 |
A Simple Automated VT/VF Detection Method for Resource-Constrained Arrhythmia Monitoring Devices |
| Saeed, Nasir |
S2.1 |
35 |
Smart Soil Monitoring: Leveraging LoRa-Based IoT for Sustainable Agriculture 4.0 |
| S2.2 |
40 |
Localization Performance Analysis in Agriculture 4.0 Utilizing Low Earth Orbit (LEO) Satellites |
| Sahadevan, Deepudev |
S3.2 |
76 |
Data-Driven Predictive Analytics for Multi-Flight Departure Interdependencies in UAE Airspace |
| Salahudin, Maham |
S3.2 |
76 |
Data-Driven Predictive Analytics for Multi-Flight Departure Interdependencies in UAE Airspace |
| Sardar, Abdul Wasay |
S7.1 |
209 |
Deep Learning Based UAV Assisted Distributed Platform for Crowd Source Management |
| Sayed, Samir |
S6.1 |
175 |
Bluffing the Hackers: Automated Decoy Creation and Real-Time Cyber Deception |
| S6.2 |
181 |
Automating Cyber Defense: Enhancing Threat Intelligence with AI-Driven Annotation |
| Sharma, Anil |
S10.6 |
304 |
Detecting Brain Cancer Using Explainable AI |
| Shetty, Omkaar |
S6.4 |
192 |
Data Analysis of Dark Web Marketplaces Using Machine Learning |
| Siddiqui, Lubna |
S1.1 |
1 |
Towards Quantum-Inspired Evolutionary Algorithms for Denoising PCG Signals |
| Singh, Jaspal |
S1.1 |
1 |
Towards Quantum-Inspired Evolutionary Algorithms for Denoising PCG Signals |
| Sinha, Aaryan |
S5.3 |
151 |
Blockchain-Powered Asset Tokenization Platform |
| Sohail, Shahab |
S10.6 |
304 |
Detecting Brain Cancer Using Explainable AI |
| Sreekumar, Sreelakshmi |
S8.3 |
254 |
A Driver Rating System Based on Driving Pattern |
| Sridhar, Kv |
S9.6 |
335 |
Brain Tumor Classification Using Enhanced CNN and Optimization with Metaheuristic Algorithms |
| Subramanian, Vinod |
S3.3 |
81 |
Enhancing Distribution Network Reliability Through IoT-Driven Alarm Systems |
| Suliman, Ahmed |
S1.6 |
30 |
Fall Detection Using Wi-Fi Channel State Information |
| T A B C D E F G H J K L M N O P R S T U V W Y Z |
| T, Vijayashanthi |
S6.3 |
186 |
Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection |
| Tagmouni, Abdelkader |
S10.2 |
283 |
Evaluating Outputs Fusion Technique in Multimodal Human Activity Recognition |
| Tettey, Daniel |
S4.4 |
122 |
Dual-Channel Visible Light Communication System for Enhanced V2V Video Streaming |
| Thumula, Gopi |
S7.5 |
231 |
GuardNet: An Ensemble-Based Malware Detection Model Using Machine Learning |
| Tiwari, Varun |
S3.4 |
87 |
Convolutional Deep Learning Hierarchical Classifier to Identify Synoptic Sky Conditions Based on Sky |
| S3.5 |
93 |
A CNN-Based Classifier for Quality Image Selection from Sky Cameras |
| U A B C D E F G H J K L M N O P R S T U V W Y Z |
| Ul Haq, Qazi Emad |
S4.6 |
134 |
Anti-Forensic Challenges in Digital Forensics Investigations: An Overview of Techniques and Tools |
| Ullah, Farman |
S7.1 |
209 |
Deep Learning Based UAV Assisted Distributed Platform for Crowd Source Management |
| Upadhyay, Prabhat |
S8.6 |
271 |
SeizureNet-BiLSTM: A Hybrid Deep Learning Framework for Identifying Ictal and Interictal Phases |
| Uysal, Murat |
S4.4 |
122 |
Dual-Channel Visible Light Communication System for Enhanced V2V Video Streaming |
| V A B C D E F G H J K L M N O P R S T U V W Y Z |
| V, Sarasvathi |
S6.4 |
192 |
Data Analysis of Dark Web Marketplaces Using Machine Learning |
| Vandavasi Karunamurthy, Jayakumar |
S3.3 |
81 |
Enhancing Distribution Network Reliability Through IoT-Driven Alarm Systems |
| W A B C D E F G H J K L M N O P R S T U V W Y Z |
| Watarai, Koki |
S6.5 |
198 |
Explainable Anomaly Detection Method Using LLM Embeddings Model with SHAP |
| Y A B C D E F G H J K L M N O P R S T U V W Y Z |
| Y. Almadhaani, Rayah |
S10.1 |
277 |
Machine Learning Analysis of Atmospheric Effects on Electromagnetic Wave Propagation in the UAE |
| Yemane, Tomas |
S7.3 |
220 |
Performance Evaluation of Deep Learning Models for Real-Time Trash Classification on Embedded Device |
| Z A B C D E F G H J K L M N O P R S T U V W Y Z |
| Zamzam, Marwa |
S6.1 |
175 |
Bluffing the Hackers: Automated Decoy Creation and Real-Time Cyber Deception |
| S6.2 |
181 |
Automating Cyber Defense: Enhancing Threat Intelligence with AI-Driven Annotation |
| Zerguine, Azzedine |
S4.1 |
104 |
Connected Graph Multitask Diffusion LMS via Orthonormal Codes in Ad-Hoc Networks |
| Zhukabayeva, Tamara |
S6.6 |
203 |
Design of Intrusion Detection and Security Enhancements in Military Wireless Sensor Networks |
| Zia, Tanveer |
S4.6 |
134 |
Anti-Forensic Challenges in Digital Forensics Investigations: An Overview of Techniques and Tools |