Umar Muhammad Modibbo – författare
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5 produkter
5 produkter
Inbunden, Engelska, 2024
2 217 kr
Skickas inom 10-15 vardagar
This book comprehensively discusses nature‑inspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques. It further covers important topics such as the use of machine learning and the Internet of Things and multi‑objective optimization under Fermatean hesitant fuzzy and uncertain environment.This book:Addresses solving practical problems such as supply chain management, smart manufacturing, and healthcare analytics using intelligent computing and discusses solving the fuzzy inference system in ant colony optimization for traveling salesman problemPresents an overview of artificial intelligence (AI) and explainable AI decision‑making (XAIDM) and illustrates a data‑driven optimization concept for modeling environmental and economic sustainabilityDiscusses machine learning‑based multi‑objective optimization technique for load balancing in integrated fog‑cloud environmentExplains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goalsDiscusses sustainable transit of hazardous waste, green fractional transportation system, perishable inventory, M‑estimation of functional regression operator, and intuitionistic fuzzy sets applicationsThe text is primarily written for graduate students and academic researchers in diverse fields, including operations research, mathematics, statistics, computer science, information and communication technology, and industrial engineering.
Inbunden, Engelska, 2024
1 250 kr
Skickas inom 10-15 vardagar
This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0, and social responsibility.This book:Addresses solving practical problems such as supply chain management, take-off, and healthcare analytics using intelligent computingPresents a comparative analysis of machine learning algorithms for power consumption predictionDiscusses a machine learning-based multi-objective optimization technique for load balancing in an integrated fog cloud environmentIllustrates a data-driven optimization concept for modeling environmental and economic sustainabilityExplains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goalsThe text is primarily written for graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, mathematics and statistics, computer science and engineering.
- Nyhet
Häftad, Engelska, 2026
739 kr
Skickas inom 10-15 vardagar
This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0, and social responsibility.This book:Addresses solving practical problems such as supply chain management, take-off, and healthcare analytics using intelligent computingPresents a comparative analysis of machine learning algorithms for power consumption predictionDiscusses a machine learning-based multi-objective optimization technique for load balancing in an integrated fog cloud environmentIllustrates a data-driven optimization concept for modeling environmental and economic sustainabilityExplains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goalsThe text is primarily written for graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, mathematics and statistics, computer science and engineering.
Häftad, Engelska, 2026
894 kr
Kommande
This book comprehensively discusses nature‑inspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques. It further covers important topics such as the use of machine learning and the Internet of Things and multi‑objective optimization under Fermatean hesitant fuzzy and uncertain environment.This book:Addresses solving practical problems such as supply chain management, smart manufacturing, and healthcare analytics using intelligent computing and discusses solving the fuzzy inference system in ant colony optimization for traveling salesman problemPresents an overview of artificial intelligence (AI) and explainable AI decision‑making (XAIDM) and illustrates a data‑driven optimization concept for modeling environmental and economic sustainabilityDiscusses machine learning‑based multi‑objective optimization technique for load balancing in integrated fog‑cloud environmentExplains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goalsDiscusses sustainable transit of hazardous waste, green fractional transportation system, perishable inventory, M‑estimation of functional regression operator, and intuitionistic fuzzy sets applicationsThe text is primarily written for graduate students and academic researchers in diverse fields, including operations research, mathematics, statistics, computer science, information and communication technology, and industrial engineering.
AITHD-2025: International Conference on Artificial Intelligence as a Technology of Human Development
Häftad, Engelska, 2026
2 377 kr
Kommande
This book is based on the best papers accepted for presentation during the AITHD-2025: International Conference on Artificial intelligence as a Technologies of Human Development on September 17–19, 2025, in Vernadsky Federal University and North Caucasus Federal University, Russia, and online.This book presents original research conducted at the intersection of artificial intelligence and human development. The main topics covered in this collection include the development of neural network classifiers applied to various domains such as transport analysis, emotion recognition, and land use classification, as well as the analysis of user preferences and literary texts using machine learning techniques. Key cybersecurity tasks addressed here include anomaly detection, phishing and malware detection, hybrid post-quantum cryptographic approaches, and cyber resilience assessment of critical infrastructure facilities.Special attention is paid to the intersection of AI with human health. This includes research on brain age estimation, driver drowsiness detection, diagnosis of mental disorders based on speech biomarkers, and epileptic seizure detection. Applications in the food industry and agriculture, the transformation of education through adaptive learning systems, and fundamental research areas such as bias in recommendation systems, differential privacy mechanisms, and optimization of quantum key distribution protocols are also covered.The book is intended for specialists working in AI, machine learning, information security, data science, educational technology, and other related disciplines.