Transparent AI Solutions for Parkinson’s Disease Diagnosis and Monitoring: A Multimodal Deep Learning Approach

Authors: Praveena, S.G., Basha, C. H. Hussaian, Senthilkumar, S., Muthaiyan, R., Dinesh, E., Kavitha, M.

Source: 2025 2nd International Conference on Computational Intelligence, Communication Technology and Networking (CICTN) Computational Intelligence, Communication Technology and Networking (CICTN), 2025 2nd International Conference on. :771-776 Feb, 2025

Relation: 2025 2nd International Conference on Computational Intelligence, Communication Technology and Networking (CICTN)

A Deep Learning Based Non-Invasive Framework for Neurodegenerative Parkinson's Disease Diagnosis from Template-Less Handwritten Shapes

Authors: Nawal, Rifa, Habib, Nafisha, Barua, Sancoy

Source: 2025 4th International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) Robotics, Electrical and Signal Processing Techniques (ICREST), 2025 4th International Conference on. :65-70 Jan, 2025

Relation: 2025 4th International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST)

A Stacking Ensemble Deep Learning Model for the Parkinson Disease Classification

Authors: Sathyabama, B., Revathy, N.

Source: 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA) Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA), 2024 International Conference on. :1-7 Dec, 2024

Relation: 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA)

An Empirical analysis of Parkinson kind of problem Via predictive Machine Learning technique

Authors: Sangeetha, M., V, Ruchitha, K.M, Subasni, D, Vaishnavi

Source: 2024 4th International Conference on Advancement in Electronics & Communication Engineering (AECE) Advancement in Electronics & Communication Engineering (AECE), 2024 4th International Conference on. :839-844 Nov, 2024

Relation: 2024 4th International Conference on Advancement in Electronics & Communication Engineering (AECE)

A Novel Ultrasound System for Contactless Quantitative Measurements of Finger Tapping: A Feasibility Study

Authors: Franceschini, Stefano, Ambrosanio, Michele, Autorino, Maria Maddalena, Baselice, Fabio

Source: 2024 IEEE International Conference on E-health Networking, Application & Services (HealthCom) E-health Networking, Application & Services (HealthCom), 2024 IEEE International Conference on. :1-5 Nov, 2024

Relation: 2024 IEEE International Conference on E-health Networking, Application & Services (HealthCom)

Leveraging Speech Driven Patterns Multimodal Machine Learning Framework for Accurate Early Stage Parkinson's Disease Prediction - A Survey

Authors: Karwande, V.S., Pawar, Umesh B., Pattnaik, Omkar

Source: 2024 Second International Conference on Advanced Computing & Communication Technologies (ICACCTech) ICACCTECH Advanced Computing & Communication Technologies (ICACCTech), 2024 Second International Conference on. :525-532 Nov, 2024

Relation: 2024 Second International Conference on Advanced Computing & Communication Technologies (ICACCTech)

Multifunctional Smart Spoon for Parkinson's: Stability Enhancement and Diagnostic Tools

Authors: Singhal, Divyansh, Yadavalli, Sasi Snigdha, Patil, Nupur, Chauhan, Siddharth, Rao, Madhav

Source: 2024 9th International Conference on Computer Science and Engineering (UBMK) Computer Science and Engineering (UBMK), 2024 9th International Conference on. :608-612 Oct, 2024

Relation: 2024 9th International Conference on Computer Science and Engineering (UBMK)

Transformer Based Parkinson's Disease Classification from Hand Tremor Signal

Authors: Atceken, Murat, Hanoglu, Lutfu, Bitirgen, Mehmet Ersin, Gunturk, Bahadir K., Ozseker, Ibrahim

Source: 2024 9th International Conference on Computer Science and Engineering (UBMK) Computer Science and Engineering (UBMK), 2024 9th International Conference on. :1-4 Oct, 2024

Relation: 2024 9th International Conference on Computer Science and Engineering (UBMK)

Detecting Early Signs of Parkinson’s Disease: A Machine Learning-based Approach for Diagnostic Assistance

Authors: Palsapure, Pranita Niraj, Bhavana, B G, Jagadish, M, Ravikumar, Kumbhar Trupti

Source: 2024 First International Conference on Software, Systems and Information Technology (SSITCON) Software, Systems and Information Technology (SSITCON), 2024 First International Conference on. :1-8 Oct, 2024

Relation: 2024 First International Conference on Software, Systems and Information Technology (SSITCON)

Convolutional Neural Network-based Classification of Parkinsonian Voice Disorders: A Spectrogram Approach

Authors: Constantine-Macias, Alisson, Jimenez-Farfan, Carlos, Arce, Michael, Tomala, Josue, Valarezo-Anazco, Edwin, Jarrin, Enrique Pelaez, Sola, Juan, Gasca-Salas, Carmen, Manez-Miro, Jorge U, Trompeta, Clara, Martinez-Fernandez, Raul, Loayza, Francis R.

Source: 2024 IEEE Eighth Ecuador Technical Chapters Meeting (ETCM) Ecuador Technical Chapters Meeting (ETCM), 2024 IEEE Eighth. :1-6 Oct, 2024

Relation: 2024 IEEE Eighth Ecuador Technical Chapters Meeting (ETCM)

Hybrid Voice Spectrogram-Chromogram Based Deep Learning (HVSC-DL) Model for the Detection of Parkinson’s Disease

Authors: Hanci, Nur Banu, Kurt, Ilke, Ulukaya, Sezer, Erdem, Oguzhan, Guler, Sibel, Uzun, Cem

Source: 2024 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2024. :161-165 Sep, 2024

Relation: 2024 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)

Deep Neural Quantization for Speech Detection of Parkinson Disease

Authors: Mazinani, Armin, Pau, Danilo Pietro, Davoli, Luca, Ferrari, Gianluigi

Source: 2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI) Research and Technologies for Society and Industry Innovation (RTSI), 2024 IEEE 8th Forum on. :178-183 Sep, 2024

Relation: 2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI)

Directed Graph Analysis on Theta-Gamma Phase-Amplitude Coupling: Insights into Parkinson Disease EEG Data

Authors: Sedghizadeh, Mohammadjavad, Beni, Mohammad Hossein Heidari, Aghajan, Hamid, Babin, Danilo, Philips, Wilfried

Source: 2024 32nd European Signal Processing Conference (EUSIPCO) European Signal Processing Conference (EUSIPCO), 2024 32nd. :1541-1545 Aug, 2024

Relation: 2024 32nd European Signal Processing Conference (EUSIPCO)

An Intelligent Technique for the Effective Prediction of Parkinson Disease

Authors: Tariq, Sawera, Qadeer, Madiha, Rehman, Attique Ur, Javed, Sabeen, Ali, Tahir Muhammad, Mir, Azka, Singh, Suresh

Source: 2024 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC) Emerging Trends in Networks and Computer Communications (ETNCC), 2024 International Conference on. :1-8 Jul, 2024

Relation: 2024 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC)

VAMLM-PDD: Vigorous Amalgamated Machine Learning Model for Investigating Parkinson's Disease Detection

Authors: Prabhakar, S.K., Park, Dogeun, Ju, Young-Gi, Kim, Chulho, Won, D.O.

Source: 2024 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC) Circuits/Systems, Computers, and Communications (ITC-CSCC), 2024 International Technical Conference on. :1-6 Jul, 2024

Relation: 2024 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)

Tremor Detection in Parkinson’s Disease from Wearable Data: A Comparative Study of Centralized Learning versus Federated Learning

Authors: Jorge, Jhon, Guevara, Judy C., Guidoni, Daniel L., Ramos, Heitor S., Villas, Leandro A., Da Fonseca, Nelson L. S.

Source: 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) DCOSS-IOT Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), 2024 20th International Conference on. :724-731 Apr, 2024

Relation: 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)

Smart Shoe Technology: Empowering Parkinson’s Patients with Enhanced Mobility and Confidence

Authors: Sumathi, K., Keerthika, G, Magidha, S, Niranjana Devy, S J

Source: 2024 International Conference on Communication, Computing and Internet of Things (IC3IoT) Communication, Computing and Internet of Things (IC3IoT), 2024 International Conference on. :1-4 Apr, 2024

Relation: 2024 International Conference on Communication, Computing and Internet of Things (IC3IoT)

Application of Computer Vision in the Diagnosis Parkinson's Disease

Authors: Shreya, Recharla, Durga Venkat, Perala Manoj, Rohith, Gaddam, Kuresan, Harisudha

Source: 2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI) Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI), 2024 International Conference on. :1-5 Apr, 2024

Relation: 2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI)

Examining Machine Learning Methods for Accurate Parkinson’s Disease Identification

Authors: Gaddala, Lalitha Kumari, Vaishnavi, Yedlapalli, Rohitha, Nanduri, Kumbha, Uma Bharathi, Mythili, Pinamala, Surekha, Y

Source: 2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST) Recent Trends in Computer Science and Technology (ICRTCST), 2024 5th International Conference on. :527-532 Apr, 2024

Relation: 2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST)

Comparative Analysis of Classification of Parkinson Disease using Deep Learning Algorithms

Authors: Fatima, Neda, Jha, Shruti, Nair, Ananya, Ali, Hasim

Source: 2024 3rd International Conference on Sentiment Analysis and Deep Learning (ICSADL) ICSADL Sentiment Analysis and Deep Learning (ICSADL), 2024 3rd International Conference on. :130-137 Mar, 2024

Relation: 2024 3rd International Conference on Sentiment Analysis and Deep Learning (ICSADL)