Investigating the Application of Transfer Learning Techniques in Cloud-Based AI Systems for Improved Performance and Reduced Training Time

This current research paper examines the adaptive technology solution approaches of transfer learning in a cloud environment for AI systems’ enhanced results and faster training periods. Concerning transfer learning methods, their application with cloud computing environments, and their effects on the efficiency of the AI model are the subject of the study. In this work, after reviewing the current literature and the state of the art of transfer learning and cloud-based AI, we discuss their integration’s prospects and opportunities for scalability, data privacy, and model generalization. The study sheds light on how transfer learning can go a long way in strengthening the efficiency of cloud AI, especially in facets such as speech and language processing, image identification, and speech recognition. The results of our study point out that it is possible to significantly improve the efficiency of model training and accuracy by applying transfer learning methodologies, thus opening opportunities for more dynamic AI solutions in the cloud context

Minilaparotomically Assisted Vaginal Hysterectomy

Endoscopic hysterectomy is increasingly selected as a current trend to minimize invasion, tissue trauma and early recovery. However it has disadvantages of the difficulty to learn and needs expensive equipments. So we developed a new minimally invasive method of vaginal hysterectomy-minilaparotomically assisted vaginal hysterectomy (MAVH) in order to complement the current laparoscopic surgery. The principle of MAVH is based on suprapubic minilaparotomical incision and uterine elevator that allows access and maximal exposure of the pelvic anatomy and an easy approach to the surrounding anatomy enabling division of round ligaments, Fallopian tubes, tuboovarian ligaments, and dissection of bladder peritoneum. After then, the vaginal phase of MAVH is done by the traditional vaginal hysterectomy. We enrolled 75 consecutive cases and in 73 cases thereof MAVH was accomplished successfully. The technique of MAVH is simple and easy to learn and it involves a small incision causing less pain and complications. This practice does not require expensive equipments. MAVH is considered as a safe and effective alternative method for abdominal hysterectomy in most cases

Managing software requirements for small sized companies

textThis thesis considers the requirement engineering process from the small scale industries point of view. It begins with a brief introduction to software requirements and then proceeds to a detailed study of the requirement engineering process. The later part of the thesis considers Business Process Modeling and how it helps in understanding any business in a better way and how conceptual model helps in extracting business requirements from any particular business scenario. The Object Oriented Technique is used for building the conceptual model. The thesis concludes with a case study.Engineering Managemen