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Accurate load forecasting is the prerequisite for efficient resources distribution among the power supply, power grid and the users. Based on traditional logistic model, data accumulated generating method and grade differential format are used to design the logistic of grade difference format. In the...

Blind recognition of STBC is an important issue in the non-cooperative context. However, the research on blind recognition over frequency-selective fading channels has been rarely reported. This paper introduces a novel and efficient algorithm for the frequency-selective fading channels to classify STBC...

For a high energy loss and complex system of ball mill, this paper provide a ball mill load detection method based on genetic algorithm optimizing BP neural network. The effective frequency range of mill sound signal is analyzed. The soft measurement model of mill load based on mill sound signal is built....

The paper is about processing of biomedical data. It were used 13 methods of machine learning (Naive Bayes classifier for multivariate Bernoulli models, A decision tree classifier, An extremely randomized tree classifier, Classifier implementing the k nearest neighbors vote, Linear Discriminant Analysis,...

Student Centered Learning is one of learning approaches focused on students. The aim of this study was to describe and explain student learning interest using student-centered learning approach. This study was a qualitative research with descriptive case study method. Data was collected from observations,...

Data mining is a process of data grouping or partitioning from the large and complex data, and the clustering analysis is an important research field in data mining. The K-means algorithm is considered to be the most important unsupervised machine learning method in clustering, which can divide all the...

The headbox is heart of the paper machine in paper industry. In the paper, the flow dynamics of the dilution water that adjusts the consistency of the fluid in a hydrodynamic headbox was studied by performing computational fluid dynamics (CFD) simulations. A standard k-ε turbulence model was used in...

The digitalization of agro-industrial complex in Russia is at an extremely low level due to the insufficient level of their state support. The aim of this research is to offer an original concept for the effective regulation of the agricultural sector. The methodological basis of the research is a systematic...

Recently Weber et al. invasively obtained aortic Pulse Wave Velocity (PWV) as a function of age. [1] Systolic and diastolic aortic pressure were determined as well. PWV can be used to derive total arterial compliance, Ctot, as Ctot=k/PWV2. With Ctot and Stroke Volume (SV), aortic Pulse Pressure (PP)...

Workplace accidents and injuries especially manufacturing industries are in an alarming stage. Yearly, more than 2000 cases were reported to Department of Safety and Health in Malaysia. This study highlighted the needs of having enforcement of safety and health regulations in the manufacturing industry...

Utility sector is the foundation of economic growth that ensures energy security and industrial productivity along with influencing the living standards especially for the developing countries. The present study critically examines the progressing landscape of India’s utility sector, focusing on demand...

Herein, we report the synthesis of nanostructured Au-doped MnWO4 (Au-MnWO4) material accomplished by a conventional hydrothermal method. A field-emission scanning electron microscope (FESEM), X-ray diffractometer (XRD), and an energy dispersive X-ray analysis (EDAX) were utilized to identify the structural,...

Alzheimer’s Disease (AD) is a degenerative neurological disorder causing progressive memory loss and cognitive decline. This research focuses on improving AD diagnosis using deep transfer learning with pre-trained CNN models like MobileNet, ResNet, and VGG. By applying MRI image preprocessing, data augmentation,...

Investment is an investment activity that aims to enable investors or capital owners to benefit from the results of the investment or investment made. One of the profitabel investments is stock investment. PT Bank Central Asia (BBCA) is a private company engaged in banking finance. The Fuzzy Time Series...

This research aims to evaluate the impact of fluctuations in the Rupiah exchange rate and foreign direct investment (FDI) on the number of foreign tourists visiting Indonesia during the 2005-2023 period. Using a quantitative approach, this research adopts the Partial Least Squares Structural Equation...

The current banking system regularly causes problems for customers, including lengthy wait times, a lack of service options, and sluggish procedures. While there are many mobile applications available for online services, there are none for offline services. This project presents a mobile application...

The article deals with the Western values and ideas in M. K. Gandhi’s thought. Although he rejects technical progress and other external manifestations of modernization, his views in a great extent are consistent with the moral foundation of Modernity. First, it is expressed in the fact that he pays...

Contemporarily, university spin-off (USO) has become a major topic in the academic entrepreneurship literature. Universities around the globe have realized that establishing USOs can bring substantial benefits to their organizations and the regional economy. Hence, the USO phenomenon became essential...

This research is about Village Digitalization through eoffice Applications in Jati Endah Village, Cilengkrang District, Bandung Regency, West Java Province, it is based on that to realize good governance and clean from KKN practices, then agile (agile) at this time the transformation of services and...

This research aims to understand the differences in aerobic endurance between students in urban and rural areas post Covid 19 pandemic. This research is descriptive research using a quantitative approach. The sample used was junior high school (SMP) students in one of the districts in South Sulawesi...

Knee osteoarthritis (KOA) is a common long-lasting ailment characterized by joint degradation, impacting millions worldwide and posing significant challenges in early detection and management. Radiographic assessment, particularly through the Kellgren-Lawrence (KL) grading scheme, serves as a cornerstone...

Based on the data of the a-share national listed forestry enterprises in 2023, this paper uses the social network-analysis method to study the network structure characteristics of the national listed forestry enterprises and the role positioning and functional differences of the internal member enterprises...

Coronary heart disease (CAD) is the world’s leading cause of death. Early detection of this condition is critical. Diagnosis with visual images through examination with angiography techniques is the current gold standard. However, this technique causes side effects, so it is necessary to carry out alternative...

Early detection and prevention is the only way to treat lung cancer to avoid the loss of life. Where Computed Tomography (CT) screening is viewed as perhaps the best technique for discovering the early indications of lung malignant growth. The primary goal of this study is nodule detection and classification...

The impact of technological advancement, particularly machine learning, on health can be seen in the efficient analysis of different chronic diseases that allows for more precise diagnosis and effective treatment. People aged 60 and above are most affected by kidney disease, a serious chronic condition...

In Indonesia, the rapid growth of Fintech has brought convenience to the general population, offering access to financial services and seamless fund transfers. However, this progress hasn't been fully inclusive, leaving individuals with visual impairments at a disadvantage. Based on data collected...

Low-flying aircraft pose significant challenges to radar systems, making them impossible to detect. To address these risks, it is critical to detect and identify such aircraft in real time. This work presents an approach for aircraft detection and classification using acoustic signatures. The acoustic...

West Nusa Tenggara is one of the very high sugar apples producing regions every year. Post-harvest handling of sugar apples or srikaya fruits presents several challenges, one of which is judging the quality of the fruit by its ripeness. A lot of research has been done on fruit classification using one...

The quality of higher education teaching in Germany has always enjoyed a good reputation internationally, and its evaluation system is known for its rigor, practicality, and strong targeting. International accreditation of academic disciplines has been one of the focuses of higher education and teaching...

This reseach aims to explore the implication of middle income trap on Indonesia’s economic growth and fiscal policy between 2014 till 2024 period, where economic growth tends to stagnate at around 5 percent per year outside the pandemic. The data’s based on qualitative content analysis by using literature...

This study aims to comprehensively analyze the influence of debt management and cash turnover on the profitability of public infrastructure sector companies listed on the Indonesia Stock Exchange (IDX) during the period from 2019 to 2023. The research methodology includes descriptive analysis to provide...

Small and Medium-sized Family Enterprises (SMFEs) encounter significant challenges in optimizing their business performance. Therefore, this research aims to explore the impact of demographic factors on the performance of these enterprises. The research utilizes Partial Least Squares-Structural Equation...

Counterfeit currency poses a significant threat to financial systems around the world. In this study, an innovative approach to coun- terfeit currency detection and classification is proposed leveraging the power of deep learning. The proposed system integrates deep learning models, each trained to identify...

This paper presents a comprehensive financial analysis of COSCO SHIPPING Holdings Co., Ltd., a leading entity in China’s shipping industry. It examines the company’s financial health from 2021 to 2023, focusing on solvency, operating capacity, and profitability metrics. The analysis reveals that COSCO...

This investigation explores the fundamental research, prominent hotspots, and prevailing trends of sustainable design through the analysis of 3,317 papers from the Web of Science (WoS) Core Collection database spanning from 1994 to 2023. The following conclusions are reached: (1) The annual publication...

Health is a human right that must be protected and noticed by the government because health is also an indicator of social welfare in addition to economic and social. Life is a gift given by God that must be respected by everyone. The life given to every human being is a human right that can only be...

Strategic alliances, which are rapidly emerging worldwide, are one of the important ways for companies to gain a competitive advantage. This article examines the impact of companies’ participation in strategic alliances on their tax avoidance behavior, using Chinese A-share listed companies from 2009...

Regional development is a strategic program aimed at enhancing growth and reducing welfare disparities among regions by optimizing resource utilization through a comprehensive approach that includes physical, social, economic, cultural, and environmental aspects. Industrial clustering plays a crucial...

The high intensity of the community in using river transportation services can be seen from the amount of productivity. The 16 Ilir River Port which serves passengers and goods has an average productivity level of transporting passengers for 5 years from 2019 to 2023 of 479,701 people with an average...

Vermicomposting is the traditional method of biodegradation of organic compound into nutrient humus that helps in plant growth Pressmud is one of the waste products of the sugarcane industry with a rich organic composition. In this study, the pressmud is subjected to vermitransformation integrated with...

The enhancement of literary appreciation requires the involvement of various elements to achieve tangible results and impacts. Two important elements in this synergistic form are government institutions and literary communities. Festival Sastra Kota Lulo (FSKL), organized by the Pustaka Kabanti community...

This study examines sector rotation in the Indian equity market using Markov chain models applied to daily data for Nifty IT, Nifty Bank, Nifty Auto, Nifty Infra, and Nifty Energy over 2019–2023. We evaluate performance through average returns, volatility, and Sharpe ratios, and assess inter-sector relationships...

Global supply chains face increasing disruption risks due to pandemics, geopolitical tensions, and extreme weather events. This study examines whether digitalization mitigates supply chain disruption risk, using panel data of Chinese A-share manufacturing firms from 2010 to 2023. A fixed-effects regression...

The present study makes an attempt to understand how CO2 Emissions from Transport, could be linked to GDP and Population for five BRICS nations (Brazil, Russia, India, China and S. Africa) by analyzing data for the period 1990-2023. The aim is to assess whether such linkages exist and, if they do, to...

This study aims to analyze the effect of Environmental, Social, and Governance (ESG) scores on stock misvaluation and its impact on the capital structure of companies in five emerging ASEAN countries, namely Indonesia, Malaysia, Thailand, the Philippines, and Vietnam, during the period 2019–2023. The...

Modern innovative pedagogical activity in higher education requires from professors not only scientific development, applied methods but also their implementation in practice. The authors of the article consider applying psychological and pedagogical technology, which consists of the application of problem-oriented...

Electroencephalography is a brain signal processing technique used to detect abnormal brain waves. Electroencephalography signal recording using electrodes attached to the scalp. Electroencephalography signals are amplified by transmitting signals into notch filters, high pass filters, and low pass filters...

Sentiment analysis plays a pivotal role in social information retrieval, enabling the extraction of valuable insights from user-generated content. In this study, we conduct a comprehensive comparative analysis of machine learning and deep learning approaches for sentiment prediction in the context of...

The graph used in this paper is a connected, bounded, and undirected graph G, is used which contains a set of vertex V(G) and a set of edge E(G). It is called the efficient dominating set of a graph if every point V in D or is adjacent to one vertex in D. For a set of solutions of G in an ordered set,...

The Black Box model is a contemporary framework designed to be cognizant of the behavioral patterns of the consumers. The objective of this study is to understand the level of influence of the Marketing mix elements, Environmental factors, Consumer characteristics, brand image and Sociological preferences...