EXPLAINABLE AI (XAI) UNTUK DETEKSI PNEUMONIA DARI CITRA X-RAY MENGGUNAKAN GRA…

Pneumonia remains a leading cause of mortality among toddlers globally, necessitating rapid and accurate early detection methods. While Convolutional Neural Networks (CNN) have proven reliable in medical image classification, their "black-box" nature often hinders clinical adoption due to a lack of transparency. This study aims to bridge this gap through an Explainable AI (XAI) approach using G…

PREDIKSI DURASI RAWAT INAP PASIEN ICU MENGGUNAKAN DEEP LEARNING

Memprediksi durasi lama rawat inap pada pasien merupakan aspek krusial bagi rumah sakit untuk meningkatkan kualitas pelayanan medis dan manajemen rumah sakit. Prediksi ini membantu pasien dalam menyiapkan kebutuhan yang diperlukan serta memungkinkan rumah sakit untuk mempersiapkan pelayanan medis yang tepat. Dalam penelitian ini, dilakukan prediksi durasi rawat inap pasien ICU menggunakan pende…

IMPLEMENTASI CONVOLUTIONAL NEURAL NETWORK (CNN) DENGAN ARSITEKTUR EFFICIENTNE…

The rapid advancement of deepfake technology poses significant challenges, as it enables the generation of highly realistic synthetic facial images that are increasingly difficult to distinguish from authentic ones. This development raises substantial concerns regarding information verification and biometric security. This study aims to address these issues by implementing a deepfake detection …

KLASIFIKASI GENRE MUSIK MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK PADA DATASET…

As music genres diversify and online music libraries grow, the need for automated, accurate genre classification has become essential for efficient music organization and recommendation. In this research, we developed a music genre classifier using a custom Convolutional Neural Network (CNN) trained on mel-spectrogram images derived from the GTZAN dataset. The GTZAN dataset is a widely used ben…

Non-Linear Feedback Neural Networks: VLSI Implementations and Applications

This book aims to present a viable alternative to the Hopfield Neural Network (HNN) model for analog computation. It is well known the standard HNN suffers from problems of convergence to local minima, and requirement of a large number of neurons and synaptic weights. Therefore, improved solutions are needed. The non-linear synapse neural network (NoSyNN) is one such possibility and is discusse…

Innovations in Bio-inspired Computing and Applications: Proceedings of the 4t…

This volume of Advances in Intelligent Systems and Computing contains accepted papers presented at IBICA2013, the 4th International Conference on Innovations in Bio-inspired Computing and Applications. The aim of IBICA 2013 was to provide a platform for world research leaders and practitioners, to discuss the full spectrum of current theoretical developments, emerging technologies, and innovati…

Recent Advances of Neural Network Models and Applications: Proceedings of the…

This volume collects a selection of contributions which has been presented at the 23rd Italian Workshop on Neural Networks, the yearly meeting of the Italian Society for Neural Networks (SIREN). The conference was held in Vietri sul Mare, Salerno, Italy during May 23-24, 2013. The annual meeting of SIREN is sponsored by International Neural Network Society (INNS), European Neural Network Societ…

PENENTUAN JALUR TERBAIK PADA SMART TRANSPORTATION DALAM SMART CITY MENGGUNAKA…

The system for determining the best path is included in the concept of Smart Transportation where the city that applies the concept is called a Smart City. This study uses the You Only Look Once version 8 (YOLOv8) algorithm to calculate the number of vehicles based on CCTV footage, One Dimensional Convolutional Neural Network optimized with Bayesian Optimization (1DCNN-BO) to predict road densi…

Characterization of Neural Activity Using Complex Network Theory

This book reports on the development and assessment of a novel framework for studying neural interactions (the connectome) and their dynamics (the chronnectome). Using EEG recordings taken during an auditory oddball task performed by 48 patients with schizophrenia and 87 healthy controls, and applying local and network measures, changes in brain activation from pre-stimulus to cognitive respons…

Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assem…

This book describes a set of novel statistical algorithms designed to infer functional connectivity of large-scale neural assemblies. The algorithms are developed with the aim of maximizing computational accuracy and efficiency, while faithfully reconstructing both the inhibitory and excitatory functional links. The book reports on statistical methods to compute the most significant functional …

Advances in Neural Computation, Machine Learning, and Cognitive Research IV

This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on …

Proceedings of the 22nd Engineering Applications of Neural Networks Conference

This book contains the proceedings of the 22nd EANN “Engineering Applications of Neural Networks” 2021 that comprise of research papers on both theoretical foundations and cutting-edge applications of artificial intelligence. Based on the discussed research areas, emphasis is given in advances of machine learning (ML) focusing on the following algorithms-approaches: Augmented ML, autoencode…

Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis

The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems. A part of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of…

FUZZY AND NEURAL APPROACHES IN ENGINEERING

Edition

-

ISBN/ISSN

0-471-16003-2

Collation

xix, 587 p. : ill. ; 25 cm

Series Title

-

Call Number

620.0028 Tso f

KENDALI CERDAS: Teori dan Aplikasi Praktisnya

Edition

1

ISBN/ISSN

978-979-29-0049-1

Collation

xvi + 272 hlm.; 16 x 23 cm

Series Title

-

Call Number

006.32 Kus k

Neural Networks with Discontinuous/Impact Activations

This book presents as its main subject new models in mathematical neuroscience. A wide range of neural networks models with discontinuities are discussed, including impulsive differential equations, differential equations with piecewise constant arguments, and models of mixed type. These models involve discontinuities, which are natural because huge velocities and short distances are usually ob…

Growing Adaptive Machines: Combining Development and Learning in Artificial N…

The pursuit of artificial intelligence has been a highly active domain of research for decades, yielding exciting scientific insights and productive new technologies. In terms of generating intelligence, however, this pursuit has yielded only limited success. This book explores the hypothesis that adaptive growth is a means of moving forward. By emulating the biological process of development, …

A Geometric Approach to the Unification of Symbolic Structures and Neural Net…

Edition

-

ISBN/ISSN

-

Collation

xii, 145 p.:Ill.

Series Title

-

Call Number

006.32 Don a

DETEKSI DEFECT SEPTUM JANTUNG JANIN BERBASIS CITRA 2 DIMENSI MENGGUNAKAN CONV…

Congenital heart disease is a common disease that can be life-threatening. CHD has an important role in knowing the early diagnosis of the heart, especially the fetus. Medical image analysis is one of the topics that can support the diagnosis process, especially the occurrence of septal defects. The image analysis process can be done by segmenting, detecting, and classifying it. This is the mai…

Network Management with Smart Systems

Edition

-

ISBN/ISSN

0-07-003600-4

Collation

326 p. : ill. ; 23 cm

Series Title

-

Call Number

004.6 Bal n

NEURAL NETWORKS FOR SIGNAL PROCESSING

Edition

-

ISBN/ISSN

0-13-614694-5

Collation

xv, 399 p.; 24 cm.

Series Title

-

Call Number

621.381 Nue n

Neural Networks; Concepts, Applications, and Implementations VOLUME I

Edition

-

ISBN/ISSN

0-13-612516-6

Collation

xii, 227 p. : ill. ; 23 cm

Series Title

-

Call Number

006.3 Neu n 1991

Neural Networks: Concepts, Applications, and Implementations, VOLUME II

Edition

-

ISBN/ISSN

0-13-612763-0

Collation

xii, 310 p.; 24 cm.

Series Title

-

Call Number

006.3 Neu n

Neural Networks: Concepts, Applications, and Implementations, VOLUME IV

Edition

-

ISBN/ISSN

0-13-612789-4

Collation

xiv, 353 p.; 24 cm.

Series Title

-

Call Number

006.3 Neu n

Neural Computation and Self-Organizing Maps: AN INTRODUCTION

Edition

-

ISBN/ISSN

0-201-55443-7

Collation

306 p.; 24 cm.

Series Title

-

Call Number

006.3 Rit n

DELAY LEARNING IN ARTIFICIAL NEURAL NETWORKS

Edition

-

ISBN/ISSN

0-442-31627-5

Collation

viii, 182 p.: ill.; 23 cm.

Series Title

-

Call Number

006.31 Mye d

PARLLEL DIGITAL IMPLEMENTATIONS OF NEURAL NETWORKS

Edition

-

ISBN/ISSN

0-13-649161-8

Collation

xiv, 210 p.;ill.;24cm

Series Title

-

Call Number

006.3 Prz p

Neural Networks: Algorithms, Applications, and Programming Techniques

Edition

1

ISBN/ISSN

0-201-51376-5

Collation

xii,401 p. : ill. ; 24 cm.

Series Title

-

Call Number

006.3 Fre n

NEURAL NETWORKS: A TUTORIAL

Edition

-

ISBN/ISSN

0-13-368903-4

Collation

viii, 181 p.; 24 cm.

Series Title

-

Call Number

006.3 Che n

NEURAL NETWORKS AND FUZZY SYSTEMS; A DYNAMICAL SYSTEMS APPROACH TO MACHINE IN…

Edition

1

ISBN/ISSN

0-13-612334-1

Collation

xxvii, 449p.;ill.;tab.;24cm

Series Title

-

Call Number

006.3 Kos n