Published: Jan. 1, 2024
Language: Английский
Biofuels Bioproducts and Biorefining, Journal Year: 2024, Volume and Issue: 18(2), P. 567 - 593
Published: Feb. 5, 2024
Abstract Biochar is emerging as a potential solution for biomass conversion to meet the ever increasing demand sustainable energy. Efficient management systems are needed in order exploit fully of biochar. Modern machine learning (ML) techniques, and particular ensemble approaches explainable AI methods, valuable forecasting properties efficiency biochar properly. Machine‐learning‐based forecasts, optimization, feature selection critical improving techniques. In this research, we explore influences these techniques on accurate yield range sources. We emphasize importance interpretability model, improves human comprehension trust ML predictions. Sensitivity analysis shown be an effective technique finding crucial characteristics that influence synthesis Precision prognostics have far‐reaching ramifications, influencing industries such logistics, technologies, successful use renewable These advances can make substantial contribution greener future encourage development circular biobased economy. This work emphasizes using sophisticated data‐driven methodologies synthesis, usher ecologically friendly energy solutions. breakthroughs hold key more environmentally future.
Language: Английский
Citations
26
Journal of Endocrinological Investigation, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 19, 2025
Language: Английский
Citations
2
Advances in medical diagnosis, treatment, and care (AMDTC) book series, Journal Year: 2024, Volume and Issue: unknown, P. 276 - 307
Published: Aug. 9, 2024
Artificial intelligence (AI) is increasingly becoming a pivotal tool in the field of dietary management, offering innovative solutions for personalized nutrition and health optimization. This chapter examines application AI technologies managing habits improving nutritional outcomes. It covers various techniques, including machine learning, natural language processing, computer vision, used to analyze interpret vast amounts data. The authors discuss how can provide tailored recommendations, monitor eating behaviors, predict deficiencies. Real-world examples case studies are presented demonstrate efficacy potential AI-driven management systems. By integrating into this highlights transformative intelligent systems enhancing individual preventing diet-related diseases.
Language: Английский
Citations
8
Nutrients, Journal Year: 2025, Volume and Issue: 17(2), P. 206 - 206
Published: Jan. 7, 2025
Background/Objectives: With the rise of artificial intelligence (AI) in nutrition and healthcare, AI-driven chatbots are increasingly recognised as potential tools for generating personalised diet plans. This study aimed to evaluate capabilities three popular chatbots-Gemini, Microsoft Copilot, ChatGPT 4.0-in designing weight-loss plans across varying caloric levels genders. Methods: comparative assessed quality meal generated by a calorie range 1400-1800 kcal, using identical prompts tailored male female profiles. The Diet Quality Index-International (DQI-I) was used dimensions variety, adequacy, moderation, balance. Caloric accuracy analysed calculating percentage deviations from requested targets categorising discrepancies into defined ranges. Results: All achieved high total DQI-I scores (DQI-I > 70), demonstrating satisfactory overall quality. However, balance sub-scores related macronutrient fatty acid distributions were consistently lowest, showing critical limitation AI algorithms. 4.0 exhibited highest precision adherence, while Gemini showed greater variability, with over 50% its deviating target more than 20%. Conclusions: show significant promise nutritionally adequate diverse Nevertheless, gaps achieving optimal emphasise need algorithmic refinement. While these have revolutionise offering precise inclusive dietary solutions, they should enhance rather replace expertise dietetic professionals.
Language: Английский
Citations
0
PeerJ Computer Science, Journal Year: 2025, Volume and Issue: 11, P. e2568 - e2568
Published: Feb. 3, 2025
Self-awareness and self-management in diabetes are critical as they enhance patient well-being, decrease financial burden, alleviate strain on healthcare systems by mitigating complications promoting healthier life expectancy. Incomplete understanding persists regarding the synergistic effects of diet exercise management, existing research often isolates these factors, creating a knowledge gap comprehending their combined influence. Current overlooks interplay between self-management. A holistic study is crucial to mitigate burdens effectively. Multi-dimensional questions covering complete diabetic management such publication channels for research, machine learning solutions, physical activity tacking methods, diabetic-associated datasets included this research. In study, using proper protocol primary articles related diet, exercise, datasets, blood analysis selected quality assessed management. This interrelates two major dimensions together that exercise.
Language: Английский
Citations
0
Sustainable development goals series, Journal Year: 2025, Volume and Issue: unknown, P. 371 - 382
Published: Jan. 1, 2025
Language: Английский
Citations
0
Nutrients, Journal Year: 2025, Volume and Issue: 17(5), P. 846 - 846
Published: Feb. 28, 2025
With advancements in medical technology, biochemistry, and clinical practices, the modern approach to total parenteral nutrition (TPN) has been focused on precision, safety, optimization of metabolic nutritional parameters based patient's needs. In last decade, TPN mixtures have transitioning from a lifesaving intervention for patients unable receive enteral highly specialized therapy aimed at improving outcomes, reducing complications, personalizing care. Total attracted great interest, its adaptation needs is topic interest scientific community. However, there are problems related shortages supply concentrates required balance infections linked venous access devices that necessary administering nutrition. Adjusting composition meet specific patient requires specialist knowledge, as ingredients available market differ terms excipients this may increase risk physicochemical incompatibilities, particularly destabilization lipid fraction. It common practice inject drugs into bag, hence high demand confirmation compatibility given drug with composition. methods used still solutions proposed research. order ensure safety use advanced therapy, continuous education monitoring latest research required. The integration artificial intelligence (AI) represents paradigm shift management (TPN). As transitions standardized, one-size-fits-all personalized we must examine challenges future directions AI-driven provide comprehensive analysis impact practice.
Language: Английский
Citations
0
Sensors, Journal Year: 2025, Volume and Issue: 25(7), P. 2147 - 2147
Published: March 28, 2025
Food computing refers to the integration of digital technologies, such as artificial intelligence (AI), Internet Things (IoT), and data-driven approaches, address various challenges in food sector. It encompasses a wide range technologies that improve efficiency, safety, sustainability systems, from production consumption. represents transformative approach addressing sector by integrating AI, IoT, methodologies. Unlike traditional which primarily focus on leverages AI for intelligent decision making IoT real-time monitoring, enabling significant advancements areas supply chain optimization, personalized nutrition. This review highlights applications, including computer vision recognition quality assessment, Natural Language Processing recipe analysis, predictive modeling dietary recommendations. Simultaneously, enhances transparency efficiency through data collection, device connectivity. The convergence these relies diverse sources, images, nutritional databases, user-generated logs, are critical traceability tailored solutions. Despite its potential, faces challenges, heterogeneity, privacy concerns, scalability issues, regulatory constraints. To these, this paper explores solutions like federated learning secure on-device processing blockchain transparent traceability. Emerging trends, edge analytics sustainable practices powered AI-IoT integration, also discussed. offers actionable insights advance innovative ethical technological frameworks.
Language: Английский
Citations
0
Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 401 - 424
Published: Feb. 7, 2025
Personalized nutrition is precision health that forms personalized diets based on the genetic, environmental, and lifestyle characteristics of an individual. It further improves with integration Internet Things in collecting, analyzing, feedback mechanisms real time, enhancing adaptation nutritional interventions: glucose levels, body composition, diet are monitored wearables, smart appliances, connected systems. The data, thus processed, then channeled through AI algorithms to derive personal recommendations tailored goals, medical conditions, preferences Healthcare providers can use IoT gain more effective, sustainable result better patient outcomes for chronic diseases, weight management, well-being. chapter analyses technological advancements, challenges, potential IoT-enabled transforming modern healthcare fostering a customized approach toward diet-based interventions.
Language: Английский
Citations
0
Nutrients, Journal Year: 2023, Volume and Issue: 15(21), P. 4562 - 4562
Published: Oct. 27, 2023
Food nutrition is generally defined as the heat energy and nutrients obtained from food by human body, such protein, fat, carbohydrates so on [...]
Language: Английский
Citations
8