Driving Growth: The Integral Role of Small Businesses in the U.S. Economic Landscape

American Journal of Industrial and Business Management, Journal Year: 2024, Volume and Issue: 14(06), P. 852 - 868

Published: Jan. 1, 2024

This comprehensive research endeavor undertakes an exhaustive examination of the far-reaching influence exerted by small businesses on intricate fabric U.S. economy. Employing a meticulously crafted methodology that combines random interviews with diverse array and medium enterprises across United States extensive review secondary sources, this study endeavors to unravel multifaceted effects ramifications businesses. From serving as engines job creation catalysts for local economic development driving industrial expansion fostering innovation, pivotal role played in shaping landscape nation becomes increasingly apparent. Furthermore, critical analysis myriad challenges negative externalities often beset businesses, offering incisive insights strategic recommendations aimed at mitigating these obstacles fortifying resilience. The robust findings derived from not only underscore indispensable contributions vitality dynamism economy but also serve clarion call policymakers, stakeholders, entrepreneurs alike redouble efforts environment conducive sustained growth prosperity By equipping stakeholders actionable tailored solutions, seeks empower navigate complexities business thrive amidst evolving paradigms.

Language: Английский

---

AI-Driven Strategies for Reducing Deforestation

The American Journal of Engineering And Technology, Journal Year: 2024, Volume and Issue: 6(6), P. 6 - 20

Published: June 1, 2024

Recent advancements in data science, coupled with the revolution digital and satellite technology, have catalyzed potential for artificial intelligence (AI) applications forestry wildlife sectors. Recognizing critical importance of addressing land degradation promoting regeneration climate regulation, ecosystem services, population well-being, there is a pressing need effective use planning interventions. Traditional regression approaches often fail to capture underlying drivers' complexity nonlinearity. In response, this research investigates efficacy AI monitoring, predicting, managing deforestation forest compared conventional methods, goal bolster global conservation endeavors. Employing fusion imagery analysis machine learning algorithms, such as convolutional neural networks predictive modelling, study focuses on key regions, including Amazon Basin, Central Africa, Southeast Asia. Through utilization these AI-driven strategies, hotspots been successfully identified an accuracy surpassing 85%, markedly higher than traditional methods. This breakthrough underscores transformative enhancing precision efficiency measures, offering formidable tool combating scale.

Language: Английский

---

Combined influence of modified recycled concrete aggregate and metakaolin on high-strength concrete production: Experimental assessment and machine learning quantifications with advanced SHAP and PDP analyses

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 461, P. 139897 - 139897

Published: Jan. 1, 2025

Language: Английский

---

Experimental Investigation on Fresh, Hardened and Durability Characteristics of Partially Replaced E-Waste Plastic Concrete: A Sustainable Concept with Machine Learning Approaches

Heliyon, Journal Year: 2025, Volume and Issue: 11(2), P. e41924 - e41924

Published: Jan. 1, 2025

The rapid global expansion of e-waste poses significant environmental and health risks, making it crucial to find sustainable uses mitigate its harmful effects. significance this research is look into the impact as a possible substitute for natural coarse aggregates (NCA) on fresh, hardened durability characteristics concrete, alongside machine learning (ML) predictive analysis. Four kinds concrete mixes were made with produced material NCA, substitution levels calculated 0 %, 10 15 % 20 (by mass NCA). Compressive splitting tensile tests evaluated mechanical properties whereas water permeability electrical resistivity assessed determine optimal proportion construction. compressive strengths reduced by 13.41%-25.50 11%-19.26 respectively, replacement ranging from at 28 days. specimens, 300 °C, exhibited reductions in strength 15.26%-30.87 10.52%-19.74 10%-20 respectively. With high coefficient correlation (R2) values, linear regression (LR) model predicted property outcomes more accurately than random forest (RF) model. test showed better results increased range 239.06 %-478.82 %. findings improved when quantity plastic was In terms all percentage results, best construction material.

Language: Английский

---

Optimizing Resource Management for IoT Devices in Constrained Environments

Journal of Computer and Communications, Journal Year: 2024, Volume and Issue: 12(08), P. 81 - 98

Published: Jan. 1, 2024

Language: Английский

---

Risk Analysis-based Decision Support System for Designing Cybersecurity of Information Technology

Journal of Business and Management Studies, Journal Year: 2024, Volume and Issue: 6(5), P. 13 - 22

Published: Aug. 29, 2024

Evaluating risks is essential for ensuring security preparedness from the perspective of technology and information management. The proposed project aims to develop an IT system grounded in risk analysis create a cybersecurity decision support model. In this study, public retail corporation with over 60 subsidiaries on-premises cloud-based ecosystem was examined. model focuses on reducing threats industry by acquiring optimal system. model, analyzed using eight steps OCTAVE Allegro method. Based method, yielded effective results demonstrated correlation between importance compliance evaluations addressing these threats. Furthermore, study contributed strategic policymakers providing recommendations cyber security. were designed determine most process developing technology. addition, evaluation research can assist businesses formulating policies that will capable efficient systems.

Language: Английский

---

Quantifying compressive strength in limestone powder incorporated concrete with incorporating various machine learning algorithms with SHAP analysis

Asian Journal of Civil Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 14, 2024

Language: Английский

---

Ensuring Security and Privacy in the Internet of Things: Challenges and Solutions

Journal of Computer and Communications, Journal Year: 2024, Volume and Issue: 12(08), P. 257 - 277

Published: Jan. 1, 2024

Language: Английский

---

Enhancing Sustainable Concrete Production by Utilizing Fly Ash and Recycled Concrete Aggregate with Experimental Investigation and Machine Learning Modeling

Journal of Building Pathology and Rehabilitation, Journal Year: 2024, Volume and Issue: 9(2)

Published: Aug. 29, 2024

Language: Английский

---

Mechanical properties and flexural toughness evaluation method of steel fiber reinforced concrete after exposure to elevated temperatures

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 469, P. 140504 - 140504

Published: Feb. 25, 2025

Language: Английский

---