Arama Sonuçları - kidneys (diseases OR disease) diagnosis.

Böbrekler küçüktür görevleri büyüktür / Yazar: Polat, Ali

Konular:

Nature Inspired Computing Proceedings of CSI 2015 /

İçindekiler: “…EasyOnto: A Collaborative Semi Formal Ontology Development Platform -- Biometric Inspired Homomorphic Encryption Algorithm for Secured Cloud Computing -- Relevance Feedback Base User Convenient Semantic Query Processing Using Neural Network -- Comparative Analysis of Decision Tree Algorithms -- Analysing the Genetic Diversity of Commonly Occurring Diseases -- Alternate Procedure for the Diagnosis of Malaria via Intuitionistic Fuzzy Sets -- A Deadline Aware Modified-Genetic Algorithm for Scheduling Jobs with Burst Time and Priorities -- Bio Inspired Computation for Optimizing Scheduling -- Segmentation of Mammograms using a Novel Intuitionistic Possibilstic Fuzzy C-Means Clustering Algorithm -- Wireless Monitoring and Indoor Navigation of a Mobile Robot using RFID -- A Note on q-Bernoulli-Euler Polynomials -- An Approach for Iris Segmentation in Constrained -- Environments -- Detection of Chronic Kidney Disease: A NN-GA Based Approach -- An Optimal Tree Based Routing Protocol Using Particle Swarm Optimization -- Sybil Attack Prevention Algorithm for Body Area Networks -- Surface Acoustic Wave E-nose Sensor Based Pattern Generation and Recognitionof Toxic Gases using Artificial Neural Network Techniques -- Pico-nym Cloud (PNC) a Method to Devise and Peruse Semantically Related Biological Patterns -- Assessment on VM Placement and VM Selection Strategies -- Distributed Denial of Service Attack Detection Using Ant Bee Colony and Artificial Neural Network in Cloud Computing -- Performance Evaluation of Neural Network Training Algorithms in Redirection Spam Detection -- Novel Method for Predicting Academic Performance of Students by Using Modified Particle Swarm Optimization (PSO) -- Medical Diagnosing of Canine Diseases Using Genetic Programming & Neural Networks -- A Comparative Study on Decision Making Capability Between Human and Artificial Intelligence.…”
Full-text access