The Impact of Emerging Technologies on Pharmaceutical Process Design and Optimization in Africa: A Review DOI Open Access

Rachael Olakunmi Ogunye,

Donatus Chigozie Egwuatu,

Peter Chidendu Anene

et al.

Journal of Pharmaceutical Research International, Journal Year: 2024, Volume and Issue: 36(9), P. 46 - 60

Published: Aug. 29, 2024

Emerging technologies present a transformative potential for pharmaceutical process design and optimization, particularly within Africa’s evolving industries. The purpose of this review is to explore the impact emerging digital technologies, including Artificial Intelligence (AI), Machine Learning (ML), Internet Things (IoT), Robotics, on optimization African context. Data was collected through comprehensive literature scholarly articles, industry reports, case studies. By analyzing recent advancements studies, identifies key areas where technology reshaping production processes product development. It highlights benefits, increased efficiency, improved accuracy, minimized waste. However, also emphasizes significant challenges, infrastructural limitations, regulatory barriers, disparities in access that can hinder adoption these Africa. An assessment their manufacturing drug costs, quality, safety reveals enhance operations significantly. findings suggest while offer substantial opportunities improving operations, successful integration requires strategic approach involves stakeholder cooperation, infrastructure improvements, targeted capacity enhancement initiatives continent’s industry. This offers broad overview current state technological sector Africa leveraging drive sustainable improvements development process.

Language: Английский

Neural Network for Enhancing Robot-Assisted Rehabilitation: A Systematic Review DOI Creative Commons

Noor Alam,

SK Hasan,

Gazi Abdullah Mashud

et al.

Actuators, Journal Year: 2025, Volume and Issue: 14(1), P. 16 - 16

Published: Jan. 6, 2025

The integration of neural networks into robotic exoskeletons for physical rehabilitation has become popular due to their ability interpret complex physiological signals. Surface electromyography (sEMG), (EMG), electroencephalography (EEG), and other signals enable communication between the human body systems. Utilizing communicating with robots plays a crucial role in robot-assisted neurorehabilitation. This systematic review synthesizes 44 peer-reviewed studies, exploring how can improve exoskeleton individuals impaired upper limbs. By categorizing studies based on joints, sensor systems, control methodologies, we offer comprehensive overview network applications this field. Our findings demonstrate that networks, such as Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM), Radial Basis Function (RBFNNs), forms significantly contribute patient-specific by enabling adaptive learning personalized therapy. CNNs motion intention estimation accuracy, while LSTM capture temporal muscle activity patterns real-time rehabilitation. RBFNNs human–robot interaction adapting individual movement patterns, leading more efficient highlights potential revolutionize limb rehabilitation, improving motor recovery patient outcomes both clinical home-based settings. It also recommends future direction customizing existing applications.

Language: Английский

Citations

1
Dual-modal flexible sensors based on flexible Ti3C2Tx (MXene)-bacterial cellulose composites for neural network-assisted pronunciations, shapes, and materials perception DOI

Yihan Qiu,

Bingzheng Zhang,

Nuozhou Yi

et al.

Journal of Alloys and Compounds, Journal Year: 2025, Volume and Issue: unknown, P. 180095 - 180095

Published: March 1, 2025

Language: Английский

Citations

1
Enabling Autonomy Through Voice Control: AI-Assisted Mobile Platform DOI

Ivelina Balcheva,

Yassen Gorbounov

Published: Jan. 1, 2025

Language: Английский

Citations

0
An optimized design for dielectric layer charges distribution towards high-performance output of TENG and its multifunctional applications DOI
Yunfeng Wang, Haibao Mu, Shasha He

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 162397 - 162397

Published: April 1, 2025

Language: Английский

Citations

0
Obstacle Feature Information-Based Motion Decision-Making Method for Obstacle-Crossing Motions in Lower Limb Exoskeleton Robots DOI Creative Commons
Yue-Peng Zhang, Guangzhong Cao, Jun Wu

et al.

Biomimetics, Journal Year: 2025, Volume and Issue: 10(5), P. 311 - 311

Published: May 12, 2025

To overcome the problem of insufficient adaptability to motion environment lower limb exoskeleton robots, this paper introduces computer vision technology into control robots and studies an obstacle-crossing-motion method based on detecting obstacle feature information. Considering information different obstacles distance between a trajectory planning direct point matching was used generate offline adjusted gait libraries obstacle-crossing libraries. A robot decision-making algorithm is proposed by combining constraints constraints, enabling it select appropriate trajectories in library. The validated at three distances with four obstacles. experimental results show that can from library detected safely complete motions.

Language: Английский

Citations

0
Enhancing Manufacturing Excellence with Digital-Twin-Enabled Operational Monitoring and Intelligent Scheduling DOI Creative Commons
Jingzhe Yang, Yili Zheng,

Jian Wu

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(15), P. 6622 - 6622

Published: July 29, 2024

This research examines the potential of digital twin (DT) technology for reformation within China’s traditional solid-wood-panel processing industry, which currently suffers from production inefficiencies and slow adoption technology. The centers around developing a system, elucidating improvements in manufacturing efficiency, waste management, process simulation, real-time monitoring. These capabilities facilitate immediate problem solving offer transparency process. system is comprised physical, transport, virtual, application layers, employing MySQL database using Open Platform Communications Unified Architecture (OPC UA) protocol communication. this has led to heightened efficiency better material use line. Integrating dynamic selection adaptive genetic algorithm (DSAGA) into virtual layer drives system’s forward. evolved approach allowed an enhancement 8.93% scheduling DSAGA compared algorithms (GAs), thereby contributing increased productivity. Real-time mapping advanced simulation interface have strengthened monitoring aspect. additions enrich data visualization, leading comprehension holistic view. ignited production, illustrating tangible benefits representing progress incorporating industries. sets path transforming these industries smart by effectively bridging gap between physical Furthermore, adjustability extends beyond indicating capability expedite movement towards intelligent various other sectors.

Language: Английский

Citations

2
Study of Human–Robot Interactions for Assistive Robots Using Machine Learning and Sensor Fusion Technologies DOI Open Access
Ravi Raj, Andrzej Kos

Electronics, Journal Year: 2024, Volume and Issue: 13(16), P. 3285 - 3285

Published: Aug. 19, 2024

In recent decades, the potential of robots’ understanding, perception, learning, and action has been widely expanded due to integration artificial intelligence (AI) into almost every system. Cooperation between AI human beings will be responsible for bright future technology. Moreover, a perfect manually or automatically controlled machine device, device must perform together with through multiple levels automation assistance. Humans robots cooperate interact in various ways. With enhancement robot efficiencies, they can more work an automatic method; therefore, we need think about cooperation humans robots, required software architectures, information designs user interfaces. This paper describes most important strategies human–robot interactions relationships several control techniques using sensor fusion learning (ML). Based on behavior thinking humans, interaction (HRI) framework is studied explored this article make attractive, safe, efficient systems. Additionally, research intention recognition, compliance control, perception environment by elderly assistive optimization HRI investigated paper. Furthermore, describe theory explain different kinds details both interactions, including circumstances-based evaluation technique, which criterion robots.

Language: Английский

Citations

1
MEMS Technology in the Evolution of Structural Control Strategies DOI Creative Commons

C.S.L. Vijaya Durga,

R J Anandhi,

Navdeep Singh

et al.

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 529, P. 04013 - 04013

Published: Jan. 1, 2024

The integration of Micro-Electro-Mechanical Systems (MEMS) into structural control strategies represents a transformative step towards more efficient, precise, and resilient engineering applications. This paper reviews the evolution current state MEMS technology in context control, highlighting key fabrication techniques such as wet dry etching, sacrificial layer technology, advanced additive manufacturing (AM). We delve unique properties advantages brought by various domains, including drug delivery systems, industrial automation, tissue engineering. Special attention is given to comparison traditional modern methods, examining their impact on device performance, cost-efficiency, application breadth. emerging synergy between nanotechnology, particularly enhancing sensor capabilities fostering new biomedical environmental applications, also explored. Through detailed analysis, this underscores significant role advancing mechanisms outlines future directions for research application.

Language: Английский

Citations

0
The Impact of Emerging Technologies on Pharmaceutical Process Design and Optimization in Africa: A Review DOI Open Access

Rachael Olakunmi Ogunye,

Donatus Chigozie Egwuatu,

Peter Chidendu Anene

et al.

Journal of Pharmaceutical Research International, Journal Year: 2024, Volume and Issue: 36(9), P. 46 - 60

Published: Aug. 29, 2024

Emerging technologies present a transformative potential for pharmaceutical process design and optimization, particularly within Africa’s evolving industries. The purpose of this review is to explore the impact emerging digital technologies, including Artificial Intelligence (AI), Machine Learning (ML), Internet Things (IoT), Robotics, on optimization African context. Data was collected through comprehensive literature scholarly articles, industry reports, case studies. By analyzing recent advancements studies, identifies key areas where technology reshaping production processes product development. It highlights benefits, increased efficiency, improved accuracy, minimized waste. However, also emphasizes significant challenges, infrastructural limitations, regulatory barriers, disparities in access that can hinder adoption these Africa. An assessment their manufacturing drug costs, quality, safety reveals enhance operations significantly. findings suggest while offer substantial opportunities improving operations, successful integration requires strategic approach involves stakeholder cooperation, infrastructure improvements, targeted capacity enhancement initiatives continent’s industry. This offers broad overview current state technological sector Africa leveraging drive sustainable improvements development process.

Language: Английский

Citations

0