Méthodologie d'Approche du Text Mining et du NLP pour la Recherche Urbaine : revue de la littérature. DOI Open Access
B. Kilani

Published: Nov. 14, 2023

Urban research has increasingly emphasized Text Mining and Natural Language Processing (NLP) methods over the years. This article delves into current literature to explore how emerged as a crucial approach for comprehending urban dynamics, scrutinizing citizens' worries, tackling contemporary problems. After reviewing past literature, this discusses uses of in its potential enhancing decision-making planning.

Language: Английский

Artificial Intelligence in Regenerative Medicine: Applications and Implications DOI Creative Commons
Hamed Nosrati, Masoud Nosrati

Biomimetics, Journal Year: 2023, Volume and Issue: 8(5), P. 442 - 442

Published: Sept. 20, 2023

The field of regenerative medicine is constantly advancing and aims to repair, regenerate, or substitute impaired unhealthy tissues organs using cutting-edge approaches such as stem cell-based therapies, gene therapy, tissue engineering. Nevertheless, incorporating artificial intelligence (AI) technologies has opened new doors for research in this field. AI refers the ability machines perform tasks that typically require human ways learning patterns data applying without being explicitly programmed. potential improve accelerate various aspects development, particularly, although not exclusively, when complex are involved. This review paper provides an overview context medicine, discusses its applications with a focus on personalized highlights challenges opportunities

Language: Английский

Citations

59

Resorbable GBR Scaffolds in Oral and Maxillofacial Tissue Engineering: Design, Fabrication, and Applications DOI Open Access
Seyed Ebrahim Alavi,

Max Gholami,

Hasan Ebrahimi Shahmabadi

et al.

Journal of Clinical Medicine, Journal Year: 2023, Volume and Issue: 12(22), P. 6962 - 6962

Published: Nov. 7, 2023

Guided bone regeneration (GBR) is a promising technique in tissue engineering that aims to replace lost or injured using resorbable scaffolds. The promotion of osteoblast adhesion, migration, and proliferation greatly aided by GBR materials, surface changes are critical imitating the natural structure improve cellular responses. Moreover, interactions between bioresponsive scaffolds, growth factors (GFs), immune cells, stromal progenitor cells essential promoting regeneration. This literature review comprehensively discusses various aspects scaffolds engineering, encompassing scaffold design, fabrication techniques, advanced manufacturing methods, including three-dimensional printing. In addition, this explores modifications replicate native structures their impact on mechanisms described, providing information how GFs, orchestrate healing. Practical applications clinical settings presented underscore importance these principles integration, healing, Furthermore, delves into emerging areas metamaterials artificial intelligence regenerative medicine. These interdisciplinary approaches hold immense promise for furthering improving therapeutic outcomes, leading enhanced patient well-being. potential combining material science, manufacturing, biology showcased as pathway advance addressing variety needs challenges. By comprehensive narrative, detailed, up-to-date account scaffolds' role transformative offered.

Language: Английский

Citations

15

Data-Driven Social Security Event Prediction: Principles, Methods, and Trends DOI Creative Commons
Nuo Xu, Zhuo Sun

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 580 - 580

Published: Jan. 9, 2025

Social security event prediction can provide critical early warnings and support for public policies crisis responses. The rapid development of communication networks has provided a massive data analysis base, including social media, economic data, historical records, based on data-driven approaches. advent approaches revolutionized the these events, offering new theoretical insights practical applications. Aiming at systematic review current methods used in security, this paper delves into progress research from three novel perspectives, factors, technical methods, interpretability, then analyzes future trends. This contributes key how be improved hopefully offers comprehensive that goes beyond existing literature.

Language: Английский

Citations

0

Modeling and Predicting Crimes in the City of São Paulo Using Graph Neural Networks DOI
Waqar Hassan, Marvin Mendes Cabral, Thiago Ramos

et al.

Lecture notes in computer science, Journal Year: 2025, Volume and Issue: unknown, P. 372 - 386

Published: Jan. 1, 2025

Language: Английский

Citations

0

Criminal Justice System in the Age of Artificial Intelligence DOI
Showkat Ahmad Wani, Sheikh Inam Ul Mansoor

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 67 - 92

Published: Feb. 28, 2025

AI biases can induce existing imbalances and affect the most affected populations more severely. The study underlines need to introduce imperative of transparency explainability systems. fact that many algorithmic systems are correspondence opaque raises questions about how such decisions made who is accountable when using artificial intelligence, which leads wrongful arrest or unfair sentencing. research calls for effective legislative frameworks would protect constitutional entitlement due widespread use criminal justice system effectively embrace avoid risk infringing individual rights make technology serve rather than inimical detrimental basic human rights.

Language: Английский

Citations

0

Predictive Analytics of Crime Data in Social Media: A Systematic Review, Incorporating Framework, and Future Investigation Schedule DOI

Monika Monika,

Aruna Bhat

SN Computer Science, Journal Year: 2025, Volume and Issue: 6(3)

Published: March 11, 2025

Language: Английский

Citations

0

From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AI DOI Creative Commons
Ilenia Ficili, Maurizio Giacobbe, Giuseppe Tricomi

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(6), P. 1763 - 1763

Published: March 12, 2025

The exponential growth of connected devices and sensor networks has revolutionized data collection monitoring across industries, from healthcare to smart cities. However, the true value these systems lies not merely in gathering but transforming it into actionable intelligence. integration IoT, cloud computing, edge AI offers a robust pathway achieve this transformation, enabling real-time decision-making predictive insights. This paper explores innovative approaches combine technologies, emphasizing their role decision-making, analytics, low-latency processing. work analyzes several among cloud/edge through examples applications, highlighting challenges seamlessly integrate techniques pervasive environmental findings contribute advancing intelligence, offering roadmap for building smarter, more sustainable infrastructure.

Language: Английский

Citations

0

A Comprehensive Study to Predicting Unethical: Activity in Videos Through Deep Learning Techniques DOI

Anjani Kumar,

H. Nanda,

Abhijeet Saroha

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Automated Crime Detection in CCTV Footage Using Machine Learning DOI

John Adithya,

Payam Mortezaei,

Khaled Aljawawde

et al.

Lecture notes on data engineering and communications technologies, Journal Year: 2025, Volume and Issue: unknown, P. 185 - 196

Published: Jan. 1, 2025

Language: Английский

Citations

0

Big Data Analytics in Smart Cities Traffic Light DOI

Rushikumar Ghetiya,

Mihir Sutariya,

Yash Ghanshyambhai Dudharejiya

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 233 - 260

Published: April 11, 2025

The big data in smart cities is integrating and affecting the revolution of urban management through increasing efficiency sustainability for quality life. This chapter takes an overview impact on three dimensions traffic management, resource optimization, citizen engagement. Big enables predictive analytics, IoT sensors, adaptive systems to ease congestion improve transportation management. Resource optimization achieves this grids, leak detection, sensor-based waste order reduce have sustainability. Platforms promoting engagement promote participation, feedback, transparency policy making – most which are aligned with needs. Challenges include privacy, security, investment infrastructures, so on. These need robust governance, support, technological innovation form AI blockchain secure efficient systems. leads smarter decisions that data-driven create sustainable citizen-centric environments.

Language: Английский

Citations

0