PROBABILISTIC SEMANTIC RECONSTRUCTION OF LOST PROTO INDO-EUROPEAN DIALECTS USING COMPUTATIONAL COMPARATIVE LINGUISTIC MODELING AND DEEP NEURAL ARCHIVING
Manual comparative methods have long been the main source for reconstructing Proto-Indo-European (PIE) dialects, with their weaknesses including fragmentary corpora, interpretive bias, and a lack of direct textual evidence. This paper introduces a probabilistic semantic reconstruction model that combines computational comparative linguistics and de...
By Mastura Tadjieva, Zaynab Matniyazova, Zarina Djumayeva, Khilola Umarkhujaeva, Mokhirukh Khoshimkhujaeva, Mohira Ankabayeva, Otabek Yusupov
AUTOMATED IDENTIFICATION OF INACCURATE CITATION BY SIG-GATE FUSION ADAPTION
Citation network analysis is increasing rapidly nowadays. However, the most important challenge is addressing inaccurate citation detection, where many unreasonable citations happen today, such as when the content of the cited paper is not relevant to the reference paper (citing paper), reciprocity and small cycles, which mean that author A cites a...
By Zahraa Yahya Mahdi Al-Mayali, Salam Al-augby
CONSUMER TRUST AND ADOPTION OF DIGITAL LENDING SERVICES INVESTIGATING FACTORS INFLUENCING USER ACCEPTANCE AND CONTINUED USE OF DIGITAL LENDING APPS
The fast digitalization of financial services has introduced a new digital lending platform into the financial services market, which is easy to use and fast to provide credit. Circumference of behavioral intention, however, is a key manifestation of the uptake of these services and largely depends on trust, service quality, perceived ease, and per...
By P Hameem Khan, S.K. Mohammed Altaf, B. Raja Rao, A. MamathKumar, A. Nitheesha
THE IMPACT OF CAPITAL STRUCTURE, OPERATIONAL EFFICIENCY, AND NON-INTEREST INCOME ON BANK PROFITABILITY IN VIETNAM
Profitability is considered an important indicator for the safety, efficiency, and sustainability of banking systems. The aim of the study is to remove the confusion concerning the effect of capital structure, operational efficiency, and non-interest income on the profitability of commercial banks in Vietnam. Utilizing quantitative research methods...
By Tran Thi Lan, Hoang Thi Bich Ha, Nguyen Anh Nguyet, Tran Van Hai
A NOVEL DEEP CONVOLUTIONAL RECURRENT STATE SPACE MODEL FOR ROBUST ADVERSE DRUG REACTION IDENTIFICATION USING DT FEATURE SELECTION AND BOW ENCODING
Social Media Detection of Adverse Drug Reactions (ADRs) has evolved as an important technique for today's pharmacovigilance. Real-time detection through social media platforms such as Twitter has been proven effective but has been hindered by issues related to linguistic noise, syntactic variations, and imbalanced data. In this paper, a new Deep Co...
By R. Deepalakshmi, Manikandan Parasuraman, V. Manikandan
EMPLOYING AI TECHNOLOGIES IN PUBLIC RELATIONS: A COMPARATIVE STUDY OF THE PERSUASIVE IMPACT OF HUMAN PRACTITIONERS AND CHATBOTS ON THE AUDIENCE
Artificial intelligence chatbots have become more popular for PR communication purposes, but there is not much data available about their persuasive abilities relative to human PR communication professionals in various forms of communication. A descriptive comparative research methodology was used in this study in order to measure the perceptions o...
By Ali Muhanad Hamid, Aqeel Tahseen Fathalla, Osamah Kareem Rasheed, Raya Qahtan Ahmed
DETERMINANTS OF JOB SATISFACTION AMONG PRIVATE BANKING EMPLOYEES IN MADURAI
Employee job satisfaction is a significant factor impacting job performance, organizational commitment, employee retention and service quality among banking sector. Private bankers may also have to work under performance pressures, increasing customer expectations, technology advancements, work load and work-life balance, all of which have negative...
By J. Sudarvel, P. Arun Gopalan, R. Velmurugan
PREDICTING INVESTMENT PREFERENCES FOR GOLD AND REAL ESTATE AMONG INDIAN SALARIED EMPLOYEES USING GRAPH NEURAL NETWORKS
The decisions made in investing among salaried individuals are guided by financial objectives, risk appetite, and demographics, with gold and real estate continuing to be some of the most favored ones in India. In this study, investment preference for gold and real estate among salaried individuals in India and a prediction model for predicting pre...
By Twinkle, S Nazim Sha
AESTHETICISM BETWEEN KNOWLEDGE & EXPERIENCES IN ARCHITECTURAL EDUCATION
One of the essential aspects of education in architecture is aesthetic knowledge, which impacts creativity, the thinking process, and the evaluation of architectural quality. However, not many empirical studies were carried out in order to understand the development of aesthetic knowledge for architecture students of various levels. The current stu...
By Mayyadah L Abdulwahhab, Noor A. M. Aalhashem, Hiba Salih Meften, Ashwaq Fadhel Muhkaber Alomari
REINFORCED ADAPTIVE HYBRID LSTM AUTOENCODER WITH SELF-HEALING INTELLIGENT REMEDIATION ENGINE FOR AUTOMATED DATA QUALITY MANAGEMENT IN HEALTHCARE IIOT SYSTEMS
Background: Healthcare Industrial Internet of Things (IIoT) application majorly focuses on clinical decision support, remote healthcare services, intelligent medical data management and patient monitoring to save the life of patients. The existing techniques of anomaly detection have issues of temporal misalignment, noisy physiological signals and ...
By Vivekananda Potti, M. Rajasekhara Babu