Smart Chip Technology for the Control and Management of Invasive Plant Species: A Review by Qaiser Javed, Mohammed Bouhadi, Smiljana Goreta Ban, Dean Ban, David Heath, Babar Iqbal, Jianfan Sun, Marko Černe

“…Invasive plant species threaten biodiversity, disrupt ecosystems, and are costly to manage. Standard control methods, such as mechanical and chemical (herbicides), are usually ineffective and time-consuming and negatively affect the environment, especially in the latter case. …”
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Enhancing smart city sustainability with explainable federated learning for vehicular energy control by Khalid Ishaq Abdullah Almaazmi, Saif Jasim Almheiri, Muhammad Adnan Khan, Asghar Ali Shah, Sagheer Abbas, Munir Ahmad

“…Abstract The rise of electric and autonomous vehicles in smart cities poses challenges in vehicular energy management due to un-optimized consumption, inefficient grid use, and unpredictable traffic patterns. …”
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A survey on detection and localisation of false data injection attacks in smart grids by Muhammad Irfan, Alireza Sadighian, Adeen Tanveer, Shaikha J. Al‐Naimi, Gabriele Oligeri

“…FDI attacks can affect the (internal) state estimation process—critical for smart grid monitoring and control—thus being able to bypass conventional Bad Data Detection (BDD) methods. …”
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Increasing the economic development of the EU countries through the implementation of the “Smart City” concept by Tetiana But, Daria Mamotenko

“…The methodological basis of the study is formed by general scientific and special methods of economic theory, in particular, statistical and information reports of EС, the United Nations and world indicators of Smart Cities. …”
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Evaluating remote healthcare practices: Experiences and recommendations of healthcare professionals on smart applications by Fadime Baştürk, Arif Osman Tokat, Osman Öztürk, Çiğdem Kader, Levent Işikay

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Smart Mode of Mechanical Lung Ventilation During Early Activation of Cardiosurgical Patients by A. A. Eremenko, R. D. Komnov

“…Purpose of the study: a comparative assessment of safety and quality of respiratory support carried out using the ASV mode vs. conventional protocol, in which ventilation parameters are set by an ICU physician during early postoperative period in cardiosurgical patients.Materials and methods. The modes of a respiratory support included automated ASV ventilation (40 patients) versus conventional ventilation (38 patients) managed by 8 ICU physicians were compared in a cohort of cardiosurgical patients in a randomized controlled study.The comparison included ventilation parameters, all efforts of physicians to adjust ventilator settings and time it took, duration of respiratory support in ICU, incidence of adverse events in the course of weaning, total time in ICU and hospital, postoperative complications and mortality.Results. …”
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A Bioelectrically Enabled Smart Bandage for Accelerated Wound Healing and Predictive Monitoring by Ahmad F. Turki, Aziza R. Alrafiah

“…<i>Materials and Methods:</i> This study assessed a smart bandage integrating spiral stainless steel electrodes delivering a 200 millivolts per millimeter (mV/mm) EF for 5 h daily over 14 days to full-thickness excisional wounds in 100 Sprague–Dawley rats. …”
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Cybersecurity and Major Cyber Threats of Smart Meters: A Systematic Mapping Review by Jones Márcio Nambundo, Otávio de Souza Martins Gomes, Adler Diniz de Souza, Raphael Carlos Santos Machado

“…Smart meters are a vital part of the smart grid, enabling energy management, real-time control, and data collection. …”
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Integration of smart sensors and IOT in precision agriculture: trends, challenges and future prospectives by Sheikh Mansoor, Shahzad Iqbal, Simona M. Popescu, Song Lim Kim, Yong Suk Chung, Jeong-Ho Baek

“…Traditional farming methods, effective for generations, struggle to meet rising global food demands due to limitations in productivity, efficiency, and sustainability amid climate change and resource scarcity. …”
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Evaluation of Clinical Efficacy of Smart Insulin for Diabetes Management: A Systematic Review by Chintan Doshi

“…To compare the efficacy and safety of smart insulin with traditional insulin therapy. Materials and methods: 1. …”
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SmartFSCV: An Artificial Intelligence Enabled Miniaturised FSCV Device Targeting Serotonin by Dean M. Corva, Egan H. Doeven, Brenna Parke, Scott D. Adams, Susannah J. Tye, Parastoo Hashemi, Michael Berk, Abbas Z. Kouzani

“…Current systems for measuring serotonin lack immediacy and portability and are bulky and expensive. <italic>Methods:</italic> We present a new miniaturised device, named SmartFSCV, designed to monitor dynamic changes of serotonin using fast-scan cyclic voltammetry (FSCV). …”
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Data-Driven Digital Twin Framework for Predictive Maintenance of Smart Manufacturing Systems by Tarana Khan, Urfi Khan, Adnan Khan, Calahan Mollan, Inga Morkvenaite-Vilkonciene, Vijitashwa Pandey

“…However, there is very little understanding of the relative merit of these methods. This paper proposes a DT framework in the context of predictive maintenance in smart manufacturing to compare the prediction efficacy of prevalent ML models. …”
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A framework for cyber threat modeling and risk assessment in smart city environments by Mariya Ouaissa, Mariyam Ouaissa, Zineb Nadifi, Sarah El Himer, Yassine Al Masmoudi, Ali Kartit

“…However, as smart cities increasingly rely on the Internet of Things (IoT), cloud computing, and real-time data processing, they also face an expanded attack surface and growing cybersecurity threats.MethodsThis paper presents a comprehensive threat modeling and risk assessment approach tailored to smart city environments. …”
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Environmental Data Analytics for Smart Cities: A Machine Learning and Statistical Approach by Ali Suliman AlSalehy, Mike Bailey

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An efficient IoT-based crop damage prediction framework in smart agricultural systems by Nermeen Gamal Rezk, Abdel-Fattah Attia, Mohamed A. El-Rashidy, Ayman El-Sayed, Ezz El-Din Hemdan

“…Abstract This paper introduces an efficient IoT-based framework for predicting crop damage within smart agricultural systems, focusing on the integration of Internet of Things (IoT) sensor data with advanced machine learning (ML) and ensemble learning (EL) techniques. …”
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A Systemic Review of Smart Technology Sport Bras for Examining Cardiovascular Function by Natasha Sarkis, Madelyn MF Eybergen, Brook-Lyn Phelan, David M. Andrews, Andrew S. Perrotta

“…Aim: This systematic review examined current literature pertaining to smart technology sport bras fabricated to assess cardiovascular function. …”
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Silver diamine fluoride: A SMART solution for special care paediatric dentistry by A. Saseendran, P. Urs, N. K. Syeda, F. N. Kandakkeel, A. Selvan, T. Noor, A. K. Tabnjh, S. Selvaraj

“…MATERIALS AND METHODS. Sixty-six children aged 3–9 years with carious primary molars were randomly divided into two groups. …”
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Electrical Resistivity of Conductive Leather and Influence of Air Temperature and Humidity by Ilda Kazani, Majlinda Hylli, Pellumb Berberi

“…The so-called “multiple-step method” was used to test leather’s electrical resistivity for the first time. …”
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Smart Dairy Farming: A Mobile Application for Milk Yield Classification Tasks by Allan Hall-Solorio, Graciela Ramirez-Alonso, Alfonso Juventino Chay-Canul, Héctor A. Lee-Rangel, Einar Vargas-Bello-Pérez, David R. Lopez-Flores

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Smart Farming: Enhancing Urban Agriculture Through Predictive Analytics and Resource Optimization by Eman Ali Aldhahri, Abdulwahab Ali Almazroi, Monagi Hassan Alkinani, Nasir Ayub, Elham Abdullah Alghamdi, Nourah Fahad Janbi

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