<?xml version="1.0" encoding="UTF-8"?><feed xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns="http://www.w3.org/2005/Atom">
<title>2020</title>
<link href="http://dlib.iit.ac.lk/xmlui/handle/123456789/510" rel="alternate"/>
<subtitle/>
<id>http://dlib.iit.ac.lk/xmlui/handle/123456789/510</id>
<updated>2026-04-08T16:47:00Z</updated>
<dc:date>2026-04-08T16:47:00Z</dc:date>
<entry>
<title>Plants Identification Use of Plant Seedling Classification Based on Deep Learning Algorithms</title>
<link href="http://dlib.iit.ac.lk/xmlui/handle/123456789/1088" rel="alternate"/>
<author>
<name>Madusha, Pothimulla Kankanamge Mewan</name>
</author>
<id>http://dlib.iit.ac.lk/xmlui/handle/123456789/1088</id>
<updated>2022-05-31T04:17:06Z</updated>
<published>2020-01-01T00:00:00Z</published>
<summary type="text">Plants Identification Use of Plant Seedling Classification Based on Deep Learning Algorithms
Madusha, Pothimulla Kankanamge Mewan
Agriculture pathway is significant for mankind endurance and stays a  significant method of a lot of economies around the globe, all the more so  in undeveloped, developed and developing country created economies  With expanding interest for nourishment and money crops, because of a  developing worldwide population and the difficulties given by  environmental change. The giving a suitable endurance to meet and fulfil  the crop cultivation process that would be great in current conditions.  &#13;
One of the major reasons for the reduction in crop yield is weed  infringement on farmlands. Weeds commonly have no useful value in  terms of food. The main target of this research is to build a plant  identification system and distinguish weeds from plants. Importance of this  system is it's focusing plant seedling stage and system developed based on  deep learning approach rather than using a traditional machine learning.  &#13;
The main grant of this work is introducing a new user-based platform  (mobile app/web app) to take a picture and identify plant seedling. Then its  automatically defocusing weeds from crop yield. Based on current system  developers can achieve more than this to new IoT systems and drone  technologies. This current approach is to give an accurate base platform to  that high technology
</summary>
<dc:date>2020-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Scatter UI Advanced UI Framework Based On Platform Design Standards Especially On Android And IOS With Responsive Web Design</title>
<link href="http://dlib.iit.ac.lk/xmlui/handle/123456789/565" rel="alternate"/>
<author>
<name>Chandeepani, Uduwanage Rashmi</name>
</author>
<id>http://dlib.iit.ac.lk/xmlui/handle/123456789/565</id>
<updated>2021-07-12T07:45:27Z</updated>
<published>2020-01-01T00:00:00Z</published>
<summary type="text">Scatter UI Advanced UI Framework Based On Platform Design Standards Especially On Android And IOS With Responsive Web Design
Chandeepani, Uduwanage Rashmi
The usage of smartphones is globally increased with the new era of human evaluation.  Hence the responsive web design is not an astonishment in recent years. Considering these rapid changes and improvements, the point on where humans computer interaction had to be improved. Therefore, with the current technology limitations, the optimum solution is to develop for responsive wed development contains rich user experience and maximize the efficiency, in general, platform base design standards are  provided with mobile applications and typically mobile websites are just providing  responsive layouts. Hence the solution is to propose a UI framework that provides platform base design standards along with responsive web design.
</summary>
<dc:date>2020-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>ATM Cash Replenishment Prediction Analyzing And Predicting Cash For ATMs In Order To Optimise the Replenishment process</title>
<link href="http://dlib.iit.ac.lk/xmlui/handle/123456789/562" rel="alternate"/>
<author>
<name>Abeygunawardene, Lushani</name>
</author>
<id>http://dlib.iit.ac.lk/xmlui/handle/123456789/562</id>
<updated>2021-07-07T02:00:27Z</updated>
<published>2020-01-01T00:00:00Z</published>
<summary type="text">ATM Cash Replenishment Prediction Analyzing And Predicting Cash For ATMs In Order To Optimise the Replenishment process
Abeygunawardene, Lushani
Using an Automatic Teller machine in banks has facilitated the work of the customers who have been using the banks frequently for cash deposits and cash withdrawals.  Waiting along in the bank counter queues, which were the manual ways of depositing and withdrawing money, has consumed away a lot of time of the customers, in addition, it has  made the bank officials in the counters work restlessly to serve their customers with great  satisfaction. With the technological innovation, ATMs got risen up that made both customers and bank officials’ tasks relieve by automating the cash withdrawal and cash  deposit process. The interior of the ATM concept was up to mark but the backend process was not so simple. Each bank ATM was filled with cash notes every 3 days at a time by an authorized official who has the access to unlock the ATM. This task needs to be closely monitored by the bank, as most of the days in the week the ATM will run out of cash where it cannot perform the daily transactions that are requested by the customers.  In that case, the Bank will be fully responsible for not serving their customers accurately.  The main challenge that has been discovered by this process is, how to get to know about the cash note counts that will be needed to replenish in the ATM in order to process the daily ATM transactions without any hindrance. In that case, currently, there has been no valid research that has addressed this issue which has clearly made a research gap. By the consideration of the problem, a way better solution has been proposed by the research with the combination of a system that is lined up to classify and solve the issue. &#13;
The proposed system provides a real-time solution for banks to perform their ATM cash replenishment process more accurately than before. This system will analyze the cash withdrawal behavior of each ATM and predict the number of cash notes that are needed  to be replenished in the ATM, which will help banks to reduce the amount of interest that  is needed to be paid for the Central bank.
</summary>
<dc:date>2020-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Psychlarity: Web Platform To Enhance Decision Making Process Of Psychotherapy</title>
<link href="http://dlib.iit.ac.lk/xmlui/handle/123456789/561" rel="alternate"/>
<author>
<name>Sigirige, Hansi</name>
</author>
<id>http://dlib.iit.ac.lk/xmlui/handle/123456789/561</id>
<updated>2021-07-07T01:52:43Z</updated>
<published>2020-01-01T00:00:00Z</published>
<summary type="text">Psychlarity: Web Platform To Enhance Decision Making Process Of Psychotherapy
Sigirige, Hansi
Psychological therapy is fast becoming more and more accessible to people suffering from mental illnesses. The incorporation of technology with therapy has not yet reached its full potential and many people fail to understand the importance and benefits of utilizing technology to enhance face-to-face therapy and not replace it. Dealing with mental illness requires a human connection and cannot be replaced with a computer. However, it is possible to use technology to improve the therapeutic alliance formed and encourage the patient to be more engaged during face-to-face sessions thereby improving the quality of the therapy provided. Providing a cost effective and reliable solution was a key focus when implementing this project.  Creating a web application that allows therapists to track patient’s progress on their homework in between sessions will improve the engagement of the patient throughout the sessions, as the patient will feel as though the therapist is still continuing the session and will strive to complete the simple homework tasks that they have received. &#13;
This research project strives to use technology to apply process enforcement on the homework given to patients in between their therapy sessions. The use of the Beck Anxiety and Depression Inventory to help measure the levels of anxiety and depressive thoughts in the patients provides an automated approach to helping therapists fully diagnose the patient faster, as well as the automated assignment of homework tasks to help the therapist attend to more patients and  provide a more specific set of tasks to the patient over time. The overall analysis of Psychlarity from all the experts were positive with suggestions for future enhancements for this system. This framework could decide feasibility for any long-term investment.
</summary>
<dc:date>2020-01-01T00:00:00Z</dc:date>
</entry>
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