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International Journal of Applied and Advanced Multidisciplinary Research (IJAAMR)
Published by MULTITECH PUBLISHER
ISSN : -     EISSN : 30262437     DOI : https://doi.org/10.59890/ijaamr.v1i2
Core Subject : Economy, Humanities, Education, Social, Engineering,
Humanities Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Education Social Sciences
International Journal of Applied and Advanced Multidisciplinary Research (IJAAMR) is a multidisciplinary journal that publishes high quality research papers in the areas of Business Management, Agriculture, Information Technology, Engineering, Health & Life Science, Zoology, Humanities, Applied Sciences, Biology, Criminal Justice, History, Public Administration, Political Science, Sociology, Social, English, Science, Mathematics, Human Resource Management, Accounting, Business Administration and Management, Computer Science, Communication, etc. International Journal of Applied and Advanced Multidisciplinary Research (IJAAMR) publishes articles monthly.
Arjuna Subject : Teknik (semua kategori) - Teknik Sipil dan Struktur
Articles 5 Documents
 1 
Search results for , issue "Vol. 1 No. 4 (2023): December 2023" : 5 Documents clear
Schinzophrenia Detection using Machine Learning Kiran Mane; Mahale, Pragati
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 4 (2023): December 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i4.524

Abstract

Schizophrenia is a complex mental disorder characterized by disruptions in thinking, perception, and emotional regulation. Early diagnosis is crucial for effective treatment and improved patient outcomes. This abstract explores the application of machine learning in schizophrenia detection. By analyzing diverse data sources, including neuroimaging, genetic, and clinical data, machine learning models can aid in identifying patterns and biomarkers associated with schizophrenia. This approach offers the potential for early and accurate diagnosis, enabling timely interventions and personalized treatment plans. The integration of machine learning into the diagnostic process holds promise for enhancing the understanding and management of schizophrenia, ultimately improving the quality of life for affected individuals.
Machine Learning Based Weed Detection System Gajbhiye, Prathamesh; Meenakshi Thalor
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 4 (2023): December 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i4.568

Abstract

This abstract underscores the importance of weed detection in crop cultivation to prevent plant diseases and minimize crop losses. To address these challenges and promote eco-friendly practices, the authors propose a weed detection program employing K-Nearest Neighbors, Random Forest, Decision Tree algorithms, and the YOLOv5 neural network. The abstract also provides a concise overview of existing research in weed identification using machine learning and deep learning. The authors developed a YOLOv5-based weed detection system and evaluated the performance of the algorithm, showing traditional classifiers achieve accuracies of 83.3%, 87.5%, and 80%, while the neural network scores range from 0.82 to 0.92 for each class. The study demonstrates the effectiveness of this approach in classifying low-resolution weed images.
Enhancing Data Backup and Recovery in Cloud Computing with Secure Database Monitoring Mehul Pawar; Phapale, Anuja S.
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 4 (2023): December 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i4.594

Abstract

The company uses unregistered data to improve performance, but this comes at the cost of limited backup options, data loss, and a voluntarily damaging week-long downtime. Even if they have backup systems, they cannot meet the SLA recovery time. To solve these problems, this work presents a secure database monitoring method for cloud computing. This approach adjusts the backup speed according to the data volume; This is important when data grows at least 30% per year. For the some companies, the data doubles every 3-4 years or more and SLAs and recovery targets need to be updated. At the same time, business needs for data recovery continue to grow, highlighting the need for more robust and responsive data management strategies.
Enabling the Future: a Virtualized Approach to 5G and Edge Computing Ankita Jamdade; M.A.Thalor
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 4 (2023): December 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i4.614

Abstract

This abstract examines the evolution of wireless communications technologies beyond 5G (B5G) and the emergence of 6G. It highlights their key role in powering the Internet of Things (IoT) and enabling edge computing. Built on shared resources, this system is exposed to various real-time application scenarios and uses simulated user equipment (UE) and operational Nextcloud instances. Performance metrics are analyzed and the system can automatically scale during high network traffic to ensure high availability. Key concepts include Radio Access Network (RAN), Edge Computing, User Equipment and Virtual Network Functions (VNF). This framework relies on shared resources and undergoes rigorous testing with real-time application scenarios, using simulated User Equipment (UE) and operational Nextcloud instances.
The Influence of Work Environment on Employees' Work Productivity with Motivation as an Intervening Variable at PT. Tirta Sari Surya Indragiri Hulu District Yenny Iskandar; Afriaris, Said; Astarman
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 4 (2023): December 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i4.1124

Abstract

The reduced growth in employee productivity levels can cause various problems such as low levels of profits for the company. Therefore, productivity is very important to pay attention to. Apart from that, the importance of this is also because a high level of productivity will be able to strengthen the country's economy which will then have an impact on increasing the standard of living, improving the quality of life in other words. Productivity can be said to be a measure that shows the consideration between input and output issued by the Company and the role of labor per unit of time, or in other words, measuring efficiency requires identifying performance results.

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