INNOVATIVE SOLUTIONS IN PUBLIC COMMUNICATIONS AND INTERNATIONAL RELATIONS DOI Open Access

Denis Vladlenov

Published: May 27, 2024

Formulation of the problem.Winter wheat yield and grain quality largely depend on providing plants with mineral nutrients throughout growing season.Intensive varieties are characterized by higher requirements for nutritional conditions only a full balanced supply can form high yields.Sufficient in an easily accessible soil almost non-existent, so to get winter wheat, you need apply fertilizers [1, 2].Analysis recent research publications.Winter is very demanding conditions.It since its root system low ability absorb from hard-to-dissolve compounds soil.The absorption determined primarily [3, 6].Before earing phase, depending nutrition conditions, absorbs 70-82% nitrogen, 75-85% phosphorus maximum amount [2, 5].A number authors believe that realization high-yielding intensive technology it necessary 90-120 kg/ha potassium 2].Presenting main material.During 2019-2021 field experiments were conducted study impact Zimoyarka dark gray podzolic soils.Characteristics arable layer forest as follows: pH -5,7 -6,0, content hydrolyzed nitrogen (according I.V. Tyurin M.M. Kononova) 117 mg, mobile 115 exchangeable Kirsanov) 129 mg per 1 kg humus Turin) these soils 2.2%.Ammonium nitrate (GOST 2-85), granular superphosphate -5956-78) chloride 4568-95) used experiments.Phosphorus part applied autumn pre-sowing cultivation, rest dose N 30 60 during fertilization.Results seeds given table 1.

Language: Английский

An IS Research Agenda on Large Language Models: Development, Applications, and Impacts on Business and Management DOI Open Access
Michael Chau, Jennifer Xu

ACM Transactions on Management Information Systems, Journal Year: 2025, Volume and Issue: 16(1), P. 1 - 11

Published: Feb. 7, 2025

Large language models have been advancing very rapidly and are making substantial impacts on all areas of business management. We review the development large their applications in management, identify major issues challenges faced by both practitioners researchers. Based our review, we propose an agenda for information systems researchers discuss some potential directions future research. Lastly, present articles special issue as exemplary research implications.

Language: Английский

Citations

0
The Role of Interaction Design Based on Fuzzy Decision Support System in Improving User Experience DOI
Jian Li, Bin Zhang

International Journal of Fuzzy Systems, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

Language: Английский

Citations

0
The Role of Trust in Financial Robo-Advisory Adoption: A Case of Young Retail Investors in Pakistan DOI Creative Commons
Zahid Bashir, Sadia Farooq, Muhammad Sabeeh Iqbal

et al.

Sustainable Futures, Journal Year: 2025, Volume and Issue: unknown, P. 100538 - 100538

Published: March 1, 2025

Language: Английский

Citations

0
Enhancing Financial Predictive Modeling with Synthetic Data Using Generative Approach DOI Creative Commons
Rupali Atul Mahajan, Rajesh Dey, Mudassir Khan

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 26, 2025

Abstract Financial predictive modeling plays a crucial role in decision-making, risk management, and strategic planning within financial markets institutions. Ensuring the veracity accuracy of synthetic data is major challenge when it comes to developing forecasting models. Otherwise, inaccurate model predictions flawed decisions are likely result if artificial created does not look like real-world patterns. A research study has tended apply generative techniques on information determine potential for influencing models through content selection improved accuracy. This critically examines RBMs Generative Adversarial Networks (GANs) Variational Autoencoders (VAEs) create that mimics intricate behaviors datasets market volatility, price couplings, time lags perfection. Furthermore, this introduces use Kullback-Leibler Divergence (KL-Divergence) as measure evaluate how distant from real data. The operative nature KL-Divergence allows one ascertain well can emulate true underpinning distribution actual finance Results indicate Real Fake achieved skewed peaking at 25 with density coverage fluctuating − 0.50 1.25 using Python software. results reveal integration generated reporting by R.B.M. other into training substantially improve performance, even under conditions tend flip-flop or show rarity. Posted literature-On future dealing between advanced reinforcement learning derive finest possible pools adaptability forecasting.

Language: Английский

Citations

0
The visual communication using generative artificial intelligence in the context of new media DOI Creative Commons
Weinan Liu, Hyung-Gi Kim

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 4, 2025

The purpose of this work is to explore methods visual communication based on generative artificial intelligence in the context new media. This proposes an image automatic generation and recognition model that integrates Conditional Generative Adversarial Network (CGAN) with Transformer algorithm. generator component takes noise vectors conditional variables as inputs. Subsequently, a module incorporated, where multi-head self-attention mechanism enables establish complex relationships among different data points. further refined through linear transformations activation functions enhance feature representations. Ultimately, captures long-range dependencies within images, facilitating high-quality images meet specific conditions. model's performance assessed, findings show accuracy proposed reaches 95.69%, exceeding baseline algorithm by more than 4%. Additionally, Peak Signal-to-Noise Ratio 33dB, Structural Similarity Index 0.83, indicating higher quality accuracy. Therefore, achieves high prediction generated quality, promising significant application value media era.

Language: Английский

Citations

0
Understanding the Dynamics in Deploying AI-Based Content Creation Support Tools in Broadcasting Systems - Benefits, Challenges, and Directions DOI

Joon Gi Chung,

Saahoon Hong,

Junho Choi

et al.

Published: April 24, 2025

Language: Английский

Citations

0
Cybersecure XAI Algorithm for Generating Recommendations Based on Financial Fundamentals Using DeepSeek DOI Creative Commons
Iván García‐Magariño, Javier Bravo, Raquel Lacuesta

et al.

AI, Journal Year: 2025, Volume and Issue: 6(5), P. 95 - 95

Published: May 2, 2025

Background: Investment decisions in stocks are one of the most complex tasks due to uncertainty which will increase or decrease their values. A diversified portfolio statistically reduces risk; however, stock choice still substantially influences profitability. Methods: This work proposes a methodology automate investment decision recommendations with clear explanations. It utilizes generative AI, guided by prompt engineering, interpret price predictions derived from neural networks. The also includes Artificial Intelligence Trust, Risk, and Security Management (AI TRiSM) model provide robust security for system. proposed system provides long-term based on financial fundamentals companies, such as price-to-earnings ratio (PER) net margin profits over total revenue. explainable artificial intelligence (XAI) uses DeepSeek describing suggested well several charts Shapley additive explanation (SHAP) values local-interpretable model-agnostic explanations (LIMEs) showing feature importance. Results: In experiments, we compared profitability portfolios, ranging 8 28 values, maximum expected increases 4 years NASDAQ-100 S&P-500, where both bull bear markets were, respectively, considered before after custom duties international trade USA April 2025. achieved an average 56.62% while considering 120 different recommendations. Conclusions: t-Student test confirmed that difference index was significant. user study revealed participants agreed were useful trusting system, score 6.14 7-point Likert scale.

Language: Английский

Citations

0
The Integration of Generative Artificial Intelligence and Computer Vision in Industrial Robotic Arms DOI
Chang Che, Chen Li, Zengyi Huang

et al.

International Journal of Computer Science and Information Technology, Journal Year: 2024, Volume and Issue: 2(3), P. 1 - 9

Published: May 28, 2024

Intelligent manufacturing has gradually become an important development trend in the industrial field. As artificial intelligence technology, machine vision been widely used field of automation. This paper discusses and application robot arm intelligent picking system based on manufacturing. The converts target into image signal through acquisition device, sends it to special processing for digital processing. Then, performs various operations extract features target, controls action equipment according discriminating results. With technology as core, realizes automatic tasks improves production efficiency quality.

Language: Английский

Citations

3
A Comprehensive Review of Generative AI in Finance DOI Creative Commons

David Kuo Chuen Lee,

Chong Guan,

Yinghui Yu

et al.

FinTech, Journal Year: 2024, Volume and Issue: 3(3), P. 460 - 478

Published: Sept. 20, 2024

The integration of generative AI (GAI) into the financial sector has brought about significant advancements, offering new solutions for various tasks. This review paper provides a comprehensive examination recent trends and developments at intersection GAI finance. By utilizing an advanced topic modeling method, BERTopic, we systematically categorize analyze existing research to uncover predominant themes emerging areas interest. Our findings reveal transformative impact finance-specific large language models (LLMs), innovative use adversarial networks (GANs) in synthetic data generation, pressing necessity regulatory framework govern finance sector. aims provide researchers practitioners with structured overview current landscape finance, insights both opportunities challenges presented by these technologies.

Language: Английский

Citations

2
Using Artificial Intelligence to Refine the Implementation Trajectory of Digital Image Processing Technology DOI Creative Commons
Chen Li, Zengyi Huang

Frontiers in Computing and Intelligent Systems, Journal Year: 2024, Volume and Issue: 8(1), P. 112 - 115

Published: May 10, 2024

Artificial intelligence introduces a fresh research perspective to digital image processing. However, its integration into the curriculum of colleges and universities for teaching processing remains scarce. This lack incorporation results in outdated course content, reliance on singular methods, simplistic experiments, consequently impeding effective hindering development well-rounded innovative individuals. Digital technology expands horizons communication engineering, facilitating more convenient modes people. For instance, video calls photo transmissions diversify everyday transcending constraints time space by enabling online meetings fostering enhanced possibilities. Despite these advancements, numerous challenges methodologies merit thorough exploration. Therefore, this paper aims comprehensively grasp both traditional deep learning approaches processing, enhancing practical project proficiency scientific exploration capabilities, thus serving as valuable reference similar endeavors.

Language: Английский

Citations

1