pwc-archive/papers-with-abstracts huggingface dataset:
HALL BOOKING SYSTEM PROJECT REPORT
Authors: Kamal Acharya
Date: 2024-10-20 00:00:00
Proceeding: ResearchGate 2024 10

PHP and MySQL project on Hall Booking System is a web based project and it has been developed in PHP and MySQL and we can manage Payment, Booking, Inventory, Booking Dates, Customers and Hall from this project. The main objective to develop Hall Booking System PHP, MySQL, JAVA SCRIPT and BOOTSRAP Project is to overcome the manual errors and make a computerized system. In this project, there are various type of modules available to manage Customers, Booking, Payment. We can also generate reports for Booking, Payment, Booking Dates, Hall. Here the Payment module manage all the operations of Payment, Booking module can manage Booking, Inventory module is normally developed for managing Inventory, Booking Dates module manages Booking Dates operations, Customers module has been implemented to manage Customers. In this project all the modules like Payment, Booking Dates, Booking are tightly coupled and we can track the information easily. Ifyou are looking for Free Hall Booking System Project in PHP and MySQL then you can visit our free projects section. We can easily get the list of wedding halls & lawns in Nagpur. Also we have detailed contact information for some particular hall. But we cannot get the availability about hall. So background behind this web portal is that it gives the area wise listing of wedding halls & lawns with the detailed information of individual and also display for particular date the hall is available or not. Just dial is the system in which we can only find the name of Hall and Lawns in city. In just dial we cannot find Halls in specific area. This system cannot show all information about any Hall. This system is not able to book the Halls online. The A Web Based Hall Booking Management System is designed to overcome the disadvantage of previous system.We can easily get the list of Wedding Halls. But we cannot get the availability about Hall. So background behind this web portal is that it gives the area wise listing of Wedding Halls with the detailed information of individual and also display for particular date the Hall is available or not. This is a special type of web portal to easily get the information of all Wedding Halls in Nagpur which display separate calendar for separate Hall. For particular date the Hall. We can availability of Hall as well as Lawns detailed information about individuals Hall in our web portal . It provides all facilities to clients with lowest cost and lowest maintenance problems.
LUNDRY MANAGEMENT SYSTEM PROJECT REPORT
Authors: Kamal Acharya
Date: 2024-10-20 00:00:00
Proceeding: ResearchGate 2024 10
Tasks: Management, Retrieval, Scheduling

Laundry firms currently use a manual system for the management and maintenance of critical information. The current system requires numerous paper forms, with data stores spread throughout the laundry management infrastructure. Often information is incomplete or does not follow management standards. Records are often lost in transit during computation requiring a comprehensive auditing process to ensure that no vital information is lost. Multiple copies of the same information exist in the laundry firm data and may lead to inconsistencies in data in various data stores. A significant part of the operation of any laundry firm involves the acquisition, management and timely retrieval of great volumes of information. This information typically involves; customer personal information and clothing records history, user information, price of delivery and received date, users scheduling as regards customers details and dealings in service rendered, also our products package waiting list. All of this information must be managed in an efficient and cost wise fashion so that the organization resources may be effectively utilized. We present the design and implementation of a laundry database management system (LBMS) used in a laundry establishment. Laundry firms are usually faced with difficulties in keeping detailed records of customers clothing; this little problem as seen to most laundry firms is highly discouraging as customers are filled with disappointments, arising from issues such as customer clothes mix-ups and untimely retrieval of clothes. The aim of this application is to determine the number of clothes collected, in relation to their owners, as this also helps the users fix a date for the collection of their clothes. Also customer’s information is secured, as a specific id is allocated per registration to avoid contrasting information.
CLOTHS STORE MANAGEMENT SYSTEM PROJECT REPORT
Authors: Kamal Acharya
Date: 2024-10-20 00:00:00
Proceeding: ResearchGate 2024 10
Tasks: Management

The purpose of the Clothes store management system is to use the existing manual systems with the help of computer equipment and complete computer software to meet their expectations that their valuable data/information is archived for a longer period of time with easy access and manipulation. The necessary software and hardware are readily available and easy to use. The clothing store management system described above can result in an error free, safe, reliable and fast management system. This can help the user focus on other activities rather than record keeping. Therefore, the system will help the organization to make better use of their resources. The organization can maintain IT records without redundant entries. This means that you don't have to be distracted by irrelevant information and still reach the top. The goal is to automate their existing manual system with computer equipment and full computer software to meet their needs, allowing them to store valuable data/information for a longer period of time with easy access and manipulation. The project describes how to manage to achieve good performance and better customer service.
ONLINE BLOOD DONATION MANAGEMENT SYSTEM PROJECT REPORT.
Authors: Kamal Acharya
Date: 2024-09-20 00:00:00
Proceeding: ResearchGate 2024 9
Tasks: Management

Blood Donation Management System is a web database application that enables the public to make online session reservation, to view nationwide blood donation events online and at the same time provides centralized donor and blood stock database. This application is developed by using ASP.NET technology from Visual Studio with the MySQL 5.0 as the database management system. The methodology used to develop this system as a whole is Object Oriented Analysis and Design; whilst, the database for BDMS is developed by following the steps in Database Life Cycle. The targeted users for this application are the public who is eligible to donate blood ,'system moderator, administrator from National Blood Center and the staffs who are working in the blood banks of the participating hospitals. The main objective of the development of this application is to overcome the problems that exist in the current system, which are the lack of facilities for online session reservation and online advertising on the nationwide blood donation events, and also decentralized donor and blood stock database. Besides, extra features in the system such as security protection by using password, generating reports, reminders of blood stock shortage and workflow tracking can even enhance the efficiency of the management in the blood banks. The final result of this project is the development of web database application, which is the BDMS.
VACCINE MANAGEMENT SYSTEM PROJECT REPORT
Authors: Kamal Acharya
Date: 2024-10-20 00:00:00
Proceeding: ResearchGate 2024 10
Tasks: Management

The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya. Access to these vaccines will have surpassed the current ability of the existing supply and logistic system to distribute, track and store the vaccines at proper temperatures, condition and quality and ensure they reach their destinations in a timely manner. This paper is a system documentation for the development of Vaccine Stock Management Tool for the Division of Vaccine and Immunization of Kenya. The study was conducted to research, study and review existing literature and systems architecture for vaccine stock supply management and studied the existing vaccine supply management system in use in Kenya. This revealed the current inefficiencies in vaccine supply and stock management within the Division of Vaccine and Immunization department in the Ministry of Health. The result of the study were the design and implementation of a vaccine stock management tool that would address the frequent levels of stock outs in the country by introducing a system based on a "push" or requisition model rather than the "push" or allocation approach currently been used. To achieve this, a web-based vaccine stock management tool was developed following the agile methodology. The developed solution is an implementation of a vaccine supply chain and cold chain management system that ensures efficient and effective vaccine delivery and that enable better and timely decision-making. Availability of quality, real time data on vaccine supply and demand at the national, regional, and lower levels would be critical to supporting improved efficiencies in how vaccines are managed in Kenya.
Bouncing Ball Content Management System Project
Authors: Kamal Acharya
Date: 2024-10-20 00:00:00
Proceeding: ResearchGate 2024 10
Tasks: Management

Graphics provides one of the most natural means of communicating with a computer, since our highly developed 2D Or 3D pattern-recognition abilities allow us to perceive and process pictorial data rapidly. • Computers have become a powerful medium for the rapid and economical production of pictures. • Graphics provide a so natural means of communicating with the computer that they have become widespread. • Interactive graphics is the most important means of producing pictures since the invention of photography and television . • We can make pictures of not only the real world objects but also of abstract objects such as mathematical surfaces on 4D and of data that have no inherent geometry. • A computer graphics system is a computer system with all the components of the general purpose computer system.
Software testing for project report.
Authors: Kamal Acharya
Date: 2024-11-20 00:00:00
Proceeding: ResearchGate 2024 11
Tasks: software testing

Methods of Software Testing There are two basic methods of performing software testing: 1. Manual testing 2. Automated testing Manual Software Testing As the name would imply, manual software testing is the process of an individual or individuals manually testing software. This can take the form of navigating user interfaces, submitting information, or even trying to hack the software or underlying database. As one might presume, manual software testing is labor-intensive and slow.
CHAT APPLICATION THROUGH CLIENT SERVER MANAGEMENT SYSTEM PROJECT REPORT
Authors: Kamal Acharya
Date: 2024-11-20 00:00:00
Proceeding: ResearchGate 2024 11
Tasks: Management

This project focused on creating a chatting application with communication environment. The objective of our project is to build a chatting system to facilitate the communication between two or more clients to obtain an effective channel among the clients themselves. For the application itself, this system can serve as a link to reach out for all clients. The design of the system depends on socket concept where is a software endpoint that establishes bidirectional communication between a server program and one or more client programs. Languages that will be used for the development of this system: Java Development Kit (JDK): is a development environment for building applications and components using the Java programming language.
ONLINE TOLL PLAZA BOOKING SYSTEM PROJECT REPORT
Authors: Kamal Acharya
Date: 2024-11-20 00:00:00
Proceeding: ResearchGate 2024 11
Tasks: Management

In day to day life, Millions of drivers pass through the toll booth to pay toll tax. Manual process is too much time consuming, so we go for electronic toll plaza. Toll Plaza Management system is a web based application that can provide all the information related to toll plazas and the passenger checks in either online or on a mobile device and pays the amount, then the passenger will be provided a receipt. With this receipt the passenger can leave the toll booth without waiting for any verification call. If the user selects a place from source to destination, the number of toll gates in between will be displayed with the specified amount. The user pays the payment via online payment gateway. This system explains the implantation of automation in toll plaza which is a step towards improving the user to pay the amount for travelling in predetermined routes.
ONLINE FOOD ORDERING SYSTEM PROJECT REPORT
Authors: Kamal Acharya
Date: 2024-11-20 00:00:00
Proceeding: ResearchGate 2024 11
Tasks: Navigate

Online Food Ordering System is proposed for simplifies the food ordering process. This System shows an user interface and update the menu with all available options so that it eases the customer work. Customer can choose more than one item to make an order and can view Order details before logging off. The order confirmation is sent to the customer. The order is placed in the queue and updated in the Database and returned in real time. This system assists the staff to go through the orders in real time and process it efficiently. Online food order system is mainly designed primarily function for use in the food delivery industry. This system will allow hotels and restaurants to increase online food ordering such type of business. The customers can be selected food menu items just few minutes. In the modern food industries allows to quickly and easily delivery on customer place. Restaurant employees then use these orders through an easy to delivery on customer place easy find out navigate graphical interface for efficient processing.
ROOM FINDER MANAGEMENT SYSTEM PROJECT REPORT
Authors: Kamal Acharya
Date: 2024-09-20 00:00:00
Proceeding: ResearchGate 2024 9
Tasks: Management

The project entitled "Mero Ghar" is web-based application developed in PHP language which allows user to find the homes and rooms according to their requirement and let them advertise their vacant rooms/house using web browsers. In present scenario customer have to visit different places in search of rooms and the owners of the house also have to make many contacts to get a decent people/family. So, using "Mero Ghar" website customer can search rooms online according to their requirement. For additional information and deals they can directly contact to the owner of the house since all the contact details of owner are displayed in the advertisement along with the room/house detail, which will definitely save the valuable time of both the searchers and the renters. This website is developed on 3-tier architecture i.e., frontend, backend and database. HTML, CSS and JavaScript are used for frontend. PHP and MYSQL are used for backend and database management respectively. So, this website is developed to help the people to save their time in searching suitable rooms and cooperative customer.
SOCCER MANAGEMENT SYSTEM PROJECT REPORT.
Authors: Kamal Acharya
Date: 2024-05-20 00:00:00
Proceeding: ResearchGate 2024 5
Tasks: Management

This web application comes with a simple interface where a person can simply login or register using some basic requirement. That login welcome’s him to the main interface which held with some data fields. The main fields are Players, Store, Management, Sponsors, Events. The user can simply visit this fields and give support to his favourite team and if a person who is dreams to join with this team at any of the field can apply his request through this web application. The live updates about the team should be released through the event field in the web application.
Enhancing DR Classification with Swin Transformer and Shifted Window Attention
Authors: Meher Boulaabi, Takwa Ben Aïcha Gader, Afef Kacem Echi, Zied Bouraoui
Date: 2025-04-20 00:00:00
Tasks: Data Augmentation, Image Cropping

Diabetic retinopathy (DR) is a leading cause of blindness worldwide, underscoring the importance of early detection for effective treatment. However, automated DR classification remains challenging due to variations in image quality, class imbalance, and pixel-level similarities that hinder model training. To address these issues, we propose a robust preprocessing pipeline incorporating image cropping, Contrast-Limited Adaptive Histogram Equalization (CLAHE), and targeted data augmentation to improve model generalization and resilience. Our approach leverages the Swin Transformer, which utilizes hierarchical token processing and shifted window attention to efficiently capture fine-grained features while maintaining linear computational complexity. We validate our method on the Aptos and IDRiD datasets for multi-class DR classification, achieving accuracy rates of 89.65% and 97.40%, respectively. These results demonstrate the effectiveness of our model, particularly in detecting early-stage DR, highlighting its potential for improving automated retinal screening in clinical settings.
Explainable Unsupervised Anomaly Detection with Random Forest
Authors: Joshua S. Harvey, Joshua Rosaler, Mingshu Li, Dhruv Desai, Dhagash Mehta
Date: 2025-04-22 00:00:00
Tasks: Anomaly Detection, Feature Importance, Unsupervised Anomaly Detection

We describe the use of an unsupervised Random Forest for similarity learning and improved unsupervised anomaly detection. By training a Random Forest to discriminate between real data and synthetic data sampled from a uniform distribution over the real data bounds, a distance measure is obtained that anisometrically transforms the data, expanding distances at the boundary of the data manifold. We show that using distances recovered from this transformation improves the accuracy of unsupervised anomaly detection, compared to other commonly used detectors, demonstrated over a large number of benchmark datasets. As well as improved performance, this method has advantages over other unsupervised anomaly detection methods, including minimal requirements for data preprocessing, native handling of missing data, and potential for visualizations. By relating outlier scores to partitions of the Random Forest, we develop a method for locally explainable anomaly predictions in terms of feature importance.
Machine Learning Interpretation of Optical Spectroscopy Using Peak-Sensitive Logistic Regression
Authors: Ziyang Wang, Jeewan C. Ranasinghe, Wenjing Wu, Dennis C. Y. Chan, Ashley Gomm, Rudolph E. Tanzi, Can Zhang, Nanyin Zhang, Genevera I. Allen, Shengxi Huang
Date: 2025-04-23 00:00:00
Proceeding: ACS Nano 2025 4
Tasks: Feature Importance, Informativeness, regression

Optical spectroscopy, a noninvasive molecular sensing technique, offers valuable insights into material characterization, molecule identification, and biosample analysis. Despite the informativeness of high-dimensional optical spectra, their interpretation remains a challenge. Machine learning methods have gained prominence in spectral analyses, efficiently unveiling analyte compositions. However, these methods still face challenges in interpretability, particularly in generating clear feature importance maps that highlight the spectral features specific to each class of data. These limitations arise from feature noise, model complexity, and the lack of optimization for spectroscopy. In this work, we introduce a machine learning algorithm─logistic regression with peak-sensitive elastic-net regularization (PSE-LR)─tailored for spectral analysis. PSE-LR enables classification and interpretability by producing a peak-sensitive feature importance map, achieving an F1-score of 0.93 and a feature sensitivity of 1.0. Its performance is compared with other methods, including k-nearest neighbors (KNN), elastic-net logistic regression (E-LR), support vector machine (SVM), principal component analysis followed by linear discriminant analysis (PCA-LDA), XGBoost, and neural network (NN). Applying PSE-LR to Raman and photoluminescence (PL) spectra, we detected the receptor-binding domain (RBD) of SARS-CoV-2 spike protein in ultralow concentrations, identified neuroprotective solution (NPS) in brain samples, recognized WS2 monolayer and WSe2/WS2 heterobilayer, analyzed Alzheimer’s disease (AD) brains, and suggested potential disease biomarkers. Our findings demonstrate PSE-LR’s utility in detecting subtle spectral features and generating interpretable feature importance maps. It is beneficial for the spectral characterization of materials, molecules, and biosamples and applicable to other spectroscopic methods. This work also facilitates the development of nanodevices such as nanosensors and miniaturized spectrometers based on nanomaterials.
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection
Authors: Seyed Shayan Daneshvar, Da Tan, Shaowei Wang, Carson Leung
Date: 2025-04-22 00:00:00
Tasks: Code Search, Vulnerability Detection

Various deep learning (DL) methods have recently been utilized to detect software vulnerabilities. Real-world software vulnerability datasets are rare and hard to acquire, as there is no simple metric for classifying vulnerability. Such datasets are heavily imbalanced, and none of the current datasets are considered huge for DL models. To tackle these problems, a recent work has tried to augment the dataset using the source code and generate realistic single-statement vulnerabilities, which is not quite practical and requires manual checking of the generated vulnerabilities. In this paper, we aim to explore the augmentation of vulnerabilities at the representation level to help current models learn better, which has never been done before to the best of our knowledge. We implement and evaluate five augmentation techniques that augment the embedding of the data and have recently been used for code search, which is a completely different software engineering task. We also introduced a conditioned version of those augmentation methods, which ensures the augmentation does not change the vulnerable section of the vector representation. We show that such augmentation methods can be helpful and increase the F1-score by up to 9.67%, yet they cannot beat Random Oversampling when balancing datasets, which increases the F1-score by 10.82%.