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Titlebook: Smart Applications with Advanced Machine Learning and Human-Centred Problem Design; D. Jude Hemanth,Utku Kose,Bogdan Patrut Conference pro

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An Adaptive EKF Algorithm with Adaptation of Noise Statistic Based on MLE, EM and ICE,nite matrices in the noise statistics obtained in the algorithm. Innovation Covariance Estimation (ICE) was included to minimize this possibility. The mapping performances and the Root Mean Square Error (RMSE) values of AEKF are compared with EKF and Unscented Kalman Filter (UKF) and it is seen that
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Artificial Intelligence Based Detection of Estrus in Animals Using Pedometer Data,ing the long-range model of LoRa technology, long-distance data transfer is provided between the server and the client. In testing on 50 animals, the MPU6050 (pedometer) and GY63 (barometric sensor) were tested in one apparatus. 250 pieces of data were measured from these sensors in animals at diffe
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,The Unfairness of Collaborative Filtering Algorithms’ Bias Towards Blockbuster Items,d investigate the impact of this bias on the users in each group. Experimental studies conducted on a real-world benchmark dataset conclude that, for the utilized collaborative filtering algorithms, the recommendations the users receive are highly concentrated on blockbuster items even if users are
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İsmail Altunhan,Mehmet Sakin,Ümran Kaya,M. Fatih AKd to the development of effective clinical modalities for human liver diseases. Written in the highly successful .Methods in Molecular Biology™. series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible
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