SLOPE STABILITY IN UNSATURATED LOW PLASTICITY SOILS USING THE BARCELONA BASIC MODEL (BBM) AND CALIBRATION OF TRIAXIAL TEST DATA
The stability of slope in unsaturated low plasticity soils is also a major issue particularly in areas where the level of water changes. This paper looks into how the Barcelona Basic Model (BBM) applies to the evaluation of the stability of a real slope that consists of low plasticity silt in the Chilca region, Peru. There was a complete characteri...
By Luis Roberto Valderrama Moscoso, Juan Antonio Gaona Rojas, Neicer Campos Vasquez, Enzo Luigui Pacahuala Rojas, Ruben Kevin Manturano Chipana
DEEP LEARNING-GUIDED GENOMIC PROFILING FOR BRAIN TUMOR SUBTYPING USING HYBRID FEATURE SELECTION AND ENSEMBLE CLASSIFICATION
The problem of brain tumors is a range of different subtypes, which have a variety of clinical forms, and the diagnosis and treatment of tumors is a challenging task. This paper introduces a hybrid deep learning system that combines genomic profiling with MRI image analysis to provide an effective brain tumor subtyping. The framework is initiated b...
By M. Yuvaraja, S. Sureshkumar, J. Dhanasekar, Vilas Namdeo Nitnaware, M. Sowmya, D. Kumar
ENHANCED U-NET ARCHITECTURE METHOD FOR SEGMENTATION OF BRAIN TUMOR FROM MRI IMAGES
Proper brain tumor segmentation is of great importance in the diagnosis and treatment planning. In this paper, the author presents an EfficientNet-modified U-Net-based system to segment the glioma in the pre-operative MRI scans using the BraTS 2018 dataset. This data consists of four types of MRI (T1, T2, T1Gd, and FLAIR). The model uses the Effici...
By P.A. Monisha, S. Sukumaran, G. Karthikeyan
INTEGRATION OF GNSS AND REMOTE SENSING TECHNIQUES FOR HIGH PRECISION GEODETIC APPLICATIONS
Geodesy is dependent on proper positioning and spatial information, and this is usually determined by GNSS and remote sensing techniques. Nevertheless, the conventional techniques are usually limited in terms of accuracy, particularly where the environment is complex. This paper explores the use of GNSS data in conjunction with remote sensing in or...
By Ankita Nihlani, Nishtha Sharma
E-VOTING SYSTEM USING BLOCK CHAIN TECHNOLOGY AND CONSENSUS ALGORITHMS FOR SECURE AND FAST TRANSACTIONS OF VOTES
This paper introduces a new E-voting system that uses the consensus algorithms to ensure secure, efficient, and transparent voting processes on the basis of blockchain. The suggested model combines a number of cryptographic methods and consensus algorithms to overcome the current issues related to the traditional voting systems, including slow proc...
By V. Malathi, R. Jaichandran
AI FLEXIBLE WORK AND STRATEGIC HRM DRIVING ORGANIZATIONAL PERFORMANCE
The fast development of digital technologies has transformed the organization and work relations, and the process of the digitalization of Human Resource Management (HRM) has become significant in optimizing the performance of the organization. In this paper, I am going to examine how Artificial Intelligence (AI), flexible work environments, and st...
By E. Pavithra, K. Sathishkumar, G. Kowsalya, M. Ramalingam, Pardaev Jamshid, Jyoti Prasad Kalita, S.D. Vijayakumar
EXPERIMENTAL INVESTIGATION ON MECHANICAL AND FLEXURAL BEHAVIOUR OF CONCRETE WITH FOUNDRY SAND AS PARTIAL FINE AGGREGATE REPLACEMENT
Waste Foundry Sand (WFS) is the disposal that has been of great concern to the environment and this is as a result of high volumes generated in the process of metal casting. The building sector is developing eco-friendly alternatives to the natural aggregates in order to minimize environmental degradation and save natural resources. In this paper, ...
By John Sundarraj, Kesavan Govindaraj
FRAGMENTATION-ENABLED VM MIGRATION AND ENHANCED DATA SEARCHING IN BIG DATA SERVER ENVIRONMENT
The proposed research paper suggests a hybrid system to improve speed and data extraction in a large data server setup, but the focus will be on how to maximize the use of resources and provide actionable information on the unstructured data. The architecture also incorporates fragmentation-enabled virtual machine (VM) migration and high-end data s...
By G.S. Manjula, T. Meyyappan
DATA-DRIVEN SUPPLY CHAIN AND FINANCIAL MANAGEMENT FRAMEWORK FOR RISK OPTIMIZATION IN HIGH-TECHNOLOGY MANUFACTURING INDUSTRIES
In the dynamic environment of the high-technology production, the supply chain and financial risks management have become more important to maintain the continuity of the operations and profitability. Although a large amount of data is available, most industries continue to struggle to use this data to optimize all risks holistically. In this paper...
By Priya Sethuraman, M. Kalaivani, K. Latha, B. Kiruthiga
MITIGATING PROPAGATION FAULTS IN REAL-TIME CONTENT STREAMING FOR LOW-BANDWIDTH LEARNING ENVIRONMENTS
The propagation faults are crippling the real-time streaming of content in learning environments with limited bandwidth, resulting in a small loss of packets that propagate into severe packet synchronization errors. The issue that is dealt with in this research is the preservation of continuity in streams through network conditions with throughput ...
By Ankita Sappa