Machine Learning Models With Hyperparameter Optimization for Voice Pathology Classification on Saarbrücken Voice Database.

Early diagnosis and referral are crucial in the treatment of voice disorders. Contemporary investigations have indicated the efficacy of voice pathology detection systems in significantly contributing to the evaluation of voice disorders, facilitating early diagnosis of such pathologies. These systems leverage machine learning methodologies, widely applied across diverse domains, and exhibit particular potential in the realm of voice pathology classification.

A novel cloning template designing method by using an artificial bee colony algorithm for edge detection of CNN based imaging sensors.

Cellular Neural Networks (CNNs) have been widely used recently in applications such as edge detection, noise reduction and object detection, which are among the main computer imaging processes. They can also be realized as hardware based imaging sensors. The fact that hardware CNN models produce robust and effective results has attracted the attention of researchers using these structures within image sensors.

A programmable iontophoretic instrument and its application for local anesthesia before surgery in urology.

In this paper, for an alternative anesthesia before transurethral resection of bladder tumors (TUR-BT) an original equipment which is used iontophoresis method was implemented. The implemented instrument is used on five patients for TUR-BT operations. This equipment can be programmable between 0 and 15 mA current by 1 mA steps and with in time 0 - 59 min.