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Improving lung cancer detection via MobileNetV2 and stacked-GRU with explainable AI

International Journal of Information technology (Singapore) 2025年第2期17卷 1189-1196页

作者： Bagheri Tofighi, Abolfazl Ahmadi, Abbas Mosadegh, Hadi Department of Industrial Engineering and Management Systems Amirkabir University of Technology (Tehran Polytechnic) Tehran Iran

Accurate and timely detection of lung cancer is crucial for effective treatment planning. This study introduces MobileNetV2-SGRU, a novel transfer learning-based predictor for lung cancer classification. It utilizes MobileNetV2 to automatically extract meaningful features from lung CT images. These extracted features processed through stacked gated recurrent unit layers, enabling the model to capture the sequential and temporal information present in the images. Additionally, the model incorporates Grad-CAM, an explainable artificial intelligence technique, to enhance interpretability and transparency of the model. An evaluation of MobileNetV2-SGRU on the IQ-OTH/NCCD dataset demonstrated its outstanding performance in lung cancer classification. The model achieves impressive accuracy, precision, recall, and F1-score of 96.83%, 96.78%, 96.83%, and 96.78%, respectively, demonstrating its superior predictive capabilities compared to existing methods. Furthermore, the results indicate reduced computation time and enhanced accuracy in diagnosing lung cancer. With advanced performance metrics and the incorporation of Grad-CAM visualization for interpretability, the model offers valuable insights for clinicians in validating and understanding its predictions, ultimately contributing to more effective treatment planning. © Bharati Vidyapeeth's Institute of Computer Applications and management 2024.

关键词： Explainable AI Grad-CAM Lung cancer Medical imaging MobileNetV2-SGRU Transfer learning

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A New Method to Evaluate the Reliability of Multistate Information Networks

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IEEE Transactions on Reliability 2024年第3期73卷 1410-1417页

作者： Wang, Fei Cui, Hongjun Yeh, Wei-Chang Zhu, Minqing Ma, Xinwei Hebei University of Technology School of Civil and Transportation Engineering Tianjin300401 China National Tsing Hua University e-Integration and Collaboration Laboratory Department of Industrial Engineering and Engineering Management Hsinchu300 Taiwan

Multistate information networks (MINs) are the basis of many modern communication networks, and the reliability evaluation of MINs not only contributes to the structural design of networks but also facilitates the development of modern communication technologies. However, the evaluation of the reliability of MINs in studies so far always requires massive calculations. To improve the calculation efficiency of MIN reliability evaluation, in this article, a new algorithm with lower time complexity than traditional algorithms is proposed. The comparative experiments show that the proposed algorithm outperforms the existing MIN reliability algorithms, and the running time of the proposed algorithm is at least 31.96% less than that of the node-based binary-addition tree algorithm. © 1963-2012 IEEE.

关键词： Probability distributions

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American put options with regime-switching volatility

Journal of Derivatives and Quantitative Studies

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Journal of Derivatives and Quantitative Studies 2024年第2期32卷 86-115页

作者： Jang, Bong-Gyu Koo, Hyeng Keun Department of Industrial and Management Engineering Pohang University of Science and Technology Pohang South Korea

We present an approach for pricing American put options with a regime-switching volatility. Our method reveals that the option price can be expressed as the sum of two components: the price of a European put option and the premium associated with the early exercise privilege. Our analysis demonstrates that, under these conditions, the perpetual put option consistently commands a higher price during periods of high volatility compared to those of low volatility. Moreover, we establish that the optimal exercise boundary is lower in high-volatility regimes than in low-volatility regimes. Additionally, we develop an analytical framework to describe American puts with an Erlang-distributed random-time horizon, which allows us to propose a numerical technique for approximating the value of American puts with finite expiry. We also show that a combined approach involving randomization and Richardson extrapolation can be a robust numerical algorithm for estimating American put prices with finite expiry. © 2024, Bong-Gyu Jang and Hyeng Keun Koo.

关键词： American option Derivative pricing Regime switch Stochastic volatility

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Utilizing Multi-vehicle Traveling Purchaser Problem for Multiple-Supplier Selection and Multi-period Lot-Sizing in a Fuzzy Demand Environment

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Operations Research Forum 2024年第4期5卷 105页

作者： Khosroabadi, Mohammad Gheidar-Kheljani, Jafar Gavareshki, Mohammad Hosein Karimi Department of Management & amp Industrial Engineering Malek-Ashtar University of Technology Tehran Iran

The decision of whether to collaborate with one or multiple sources is a crucial challenge in the supply chain. This decision involves considering various criteria, including price and transportation cost. The traveling purchaser problem (TPP) is an extension of the well-known traveling salesman problem (TSP). While the TSP focuses on product distribution, the TPP addresses the supply of products and raw materials. Previous models did not incorporate vehicle routing in solving the multi-period economic lot-sizing problem. In contrast, this paper presents a novel fuzzy mixed-integer linear programming model for determining the optimal multi-period ordering policy when suppliers offer the lowest price. The model integrates the development of the TPP and the multi-period economic lot-sizing problem. In this model, we simultaneously consider all purchasing, transportation, and inventory holding costs, while also determining the optimal vehicle routing. The model takes into account factors such as the percentage of defective items, vehicle capacity, and storage capacity to provide a more realistic approach. The results indicate that neglecting transportation costs can lead to a potential increase of up to 200% in total costs while ignoring product prices can result in a potential increase of up to 50% in total costs. Therefore, the best ordering strategy involves considering all three parameters of purchasing, transportation, and inventory holding costs simultaneously. Given the high computational complexity of the proposed model, we also present a differential evolution algorithm. The numerical results demonstrate that this algorithm can achieve optimal/near-optimal solutions within significantly shorter computational times compared to exact methods. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Discount Disruption risk Fuzzy demand Multi vehicle traveling purchaser problem Order lot-sizing Routing Supplier selection

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Experimental investigation of the effects of different nanoparticles on the performance of single basin double-slope solar stills

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Clean Energy 2024年第6期8卷 96-119页

作者： Chawisorn Phukapak Sorawin Phukapak Narathip Pawaree Department of Energy and Environment Engineering Faculty of EngineeringRajabhat Maha Sarakham UniversityMahasarakhamThailand Department of Energy Engineering Faculty of TechnologyUdon Thani Rajabhat UniversityUdon ThaniThailand Department of Industrial Management Faculty of TechnologyUdon Thani Rajabhat UniversityUdon ThaniThailand

The study focuses on the development of a thermal model for a single basin double-slope solar still and compares the effects of varying volume concentrations of nanoparticles on its *** efficiency of single basin double-slope solar still is improved by using strip-grooved fin absorber shapes and a combination of nanoparticles(Al_(2)O_(3),CuO,Ag,Fe_(2)O_(3),and ZnO)in water depths from 0.01 to 0.05 *** nanoparticles are present in different volume concentrations of 0.10%,0.15%,0.20%,0.25%,and 0.30%in saline water within the *** strip-grooved fins are used to increase the surface area available for evaporation and serve as an important material for storing thermal energy,which is then transferred to the fluid mass in the basin,increasing its *** the other hand,nanoparticles are used to improve the heat transfer of saline water in the basin and enhance its absorption of solar *** experiment revealed that without the presence of nanofluid,the distillation efficiency of strip-grooved fin was 26.93%.The distillation production efficiency of strip-grooved fins combined with nanoparticles Al_(2)O_(3),CuO,Ag,Fe_(2)O_(3),and ZnO were 36.13%,35.58%,34.60%,32.44%,and 29.71%,***,the economic analysis showed that the overall costs per liter of freshwater produced by single basin double-slope solar still with strip-grooved fin and the combination of single basin double-slope solar still with strip-grooved fin and Al_(2)O_(3) were reduced by 0.0368 and 0.0309$/L,respectively.

关键词： single basin double-slope solar stills distillation strip-grooved fin volume concentrations nanoparticles

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An experimental investigation of nucleate boiling performance for low-GWP azeotropic refrigerant R513A on a smooth tube

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International Journal of Refrigeration 2024年 162卷 150-157页

作者： Shafiq, Qadir Nawaz Hung, Kuo-Shu Wang, Chi-Chuan Department of Mechanical Engineering National Yang Ming Chiao Tung University Hsinchu300 Taiwan Department of Mechanical Engineering Shaheed Zulfiqar Ali Bhutto Campus Mehran University of Engineering and Technology Khairpur Mir's66020 Pakistan Green Energy & Environment Research Laboratories Industrial Technology Research Institute Hsinchu310 Taiwan

In the present study, an experimental investigation is conducted to study the nucleate boiling characteristics on a smooth tube having a low-GWP azeotropic refrigerant, R513A. The heat flux ranges from 5 to 90 kW/m2, and saturation temperatures are 0, 6, 10, 16, and 22 °C, respectively. The performance of R513A is compared against that of R134a. The performance is in terms of heat transfer coefficient (HTC). HTCs normally increased with the rise of heat flux and saturation temperature. However, the HTCs of R513A exceed those of R134a by approximately 20–25 %. Additionally, comparative analysis of the test data and some existing correlations are made. The compared correlations include three correlations based on reduced pressure (Cooper, Ribatski and Jabardo, and Jung), as well as two correlations based on thermophysical properties. It is found that the Jung correlation gives the best overall predictive ability against the R513A data with a deviation ranging from 5 % to 10 %. © 2024 Elsevier Ltd and IIR

关键词： Nucleate boiling

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Minimising makespan in distributed assembly hybrid flowshop scheduling problems

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International Journal of Production Research 2025年第5期63卷 1674-1691页

作者： Ying, Kuo-Ching Lin, Shih-Wei Chen, Kuan-Fu Department of Industrial Engineering and Management National Taipei University of Technology Taipei Taiwan Department of Information Management Chang Gung University Taoyuan Taiwan Department of Emergency Medicine Keelung Chang Gung Memorial Hospital Keelung Taiwan Department of Industrial Engineering and Management Ming Chi University of Technology Taipei Taiwan College of Intelligent Computing Chang Gung University Taoyuan Taiwan

To enhance the manufacturing flexibility, resilience, and production efficiency, the integration of scheduling for distributed manufacturing with assembly systems has become a pivotal driver of production planning evolution. In this research endeavour, we present a Mixed-Integer Linear Programming model and an innovative Iterated Epsilon-Greedy Reinforcement Learning algorithm to address the distributed assembly hybrid flowshop scheduling problem. Empirical validation, conducted through computational experiments on a benchmark problem set, is used to gain important managerial insights. The computational results demonstrate that the proposed algorithms significantly reduce the makespan for the addressed problem. This study has the potential to make valuable contributions to ongoing research endeavours within the realm of multi-stage shop scheduling, an area that continues to warrant progressive advancement. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Learning algorithms

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Assessment of Posture Related Risks among Goldsmiths Using Rapid Upper Limb Assessment (RULA) and Rapid Entire Body Assessment (REBA)

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Journal of The Institution of Engineers (India): Series C 2024年第5期105卷 1311-1318页

作者： Bera, Debabrata Sarkar, Sayan Mallick, Bivash Das, Manik Chandra Department of Industrial Engineering and Management Maulana Abul Kalam Azad University of Technology West Bengal Haringhata Nadia741249 India

Goldsmithing is an ancient craft in India and has been a prominent cottage industry for generations. Goldsmith workers are skilled in working with various metals, not just gold. Over the years, Indian goldsmiths have dedicatedly pursued their craft under challenging conditions, often sitting in a cross-legged position for extended periods. Unfortunately, these dedicated workers face the negative consequences of Musculoskeletal Disorders (MSDs), which encompass a range of injuries and disorders affecting different parts of the body, such as muscles, nerves, connective tissues, ligaments, joints, and the spinal canal. The prevalence of MSDs among goldsmiths is a significant concern as it affects their well-being and overall productivity in the gold industry. To address this issue, this study aims to assess the postural condition of goldsmith workers. The researchers use the Rapid Upper Limb Assessment (RULA) and Rapid Upper Body Assessment (REBA) methods to evaluate the work postures, nature of work, stress levels, and discomfort experienced by the workers. Additionally, direct interviews using Nordic musculoskeletal questionnaires and analyzed data through digital photography and video records have been conducted to apply the REBA and RULA methods. The findings of this investigation reveal that goldsmith workers often adopt uncomfortable postures during their daily work processes, which need to be addressed immediately and changed for their benefit. © The Institution of Engineers (India) 2024.

关键词： Joints (anatomy)

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From Concept to Market: Integrating Customer Needs in Product Development

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Journal of The Institution of Engineers (India): Series C 2024年第6期105卷 1643-1652页

作者： Das, Soumyajit Mallick, Bivash Das, Sourav Department of Industrial Engineering and Management Maulana Abul Kalam Azad University of Technology West Bengal Haringhata Nadia741249 India

Developing a competitive product with significant economic advantages presents a formidable challenge in today’s business landscape. Organizations can overcome the challenge by employing the House of Quality (HOQ), a well-established product modification and development methodology. This paper endeavors to investigate the pragmatic utilization of the House of Quality in augmenting customer satisfaction and optimizing product development procedures. It seeks to integrate QFD methodologies within strategic planning frameworks to effectively address customer needs and foster innovation in product development endeavors. Market surveys were conducted to align the product design with customer demands and ascertain the primary and latent needs of the target users. The paper examines the relevance of Quality Function Deployment (QFD) as a dynamic tool for identifying necessary modifications for newly developed products. The paper addresses potential data collection and decision-making challenges and provides valuable recommendations to overcome these obstacles. Based on user feedback, the study identifies crucial sensory requirements, such as defect-free performance (18%), product durability (14%), and the need for additional space (12%) to accommodate more significant food portions. The glass-plate model underwent material and design modifications to fulfil these needs and enhance user satisfaction. © The Institution of Engineers (India) 2024.

关键词： Product development

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Simulation-based system reliability estimation of a multi-state flow network for all possible demand levels

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Annals of Operations Research 2024年第1期340卷 117-132页

作者： Chang, Ping-Chen Huang, Ding-Hsiang Huang, Cheng-Fu Department of Industrial Engineering and Management National Taipei University of Technology Department of Industrial Engineering and Enterprise Information Tunghai University Department of Business Administration Feng Chia University

The multi-state flow network (MSFN) serves as a fundamental framework for real-life network-structured systems and various applications. The system reliability of the MSFN, denoted as R_d, is defined as the probability of successfully transmitting at least d units of demand from a source to a terminal. Current analytical algorithms are characterized by their computational complexity, specifically falling into the NP-hard problem to evaluate exact system reliability. Moreover, existing analytical algorithms for calculating R_d are basically designed for predetermined values of d. This limitation hinders the ability of decision-makers to flexibly choose the most appropriate based on the specific characteristics of the given scenarios or applications. This means that these methods are incapable of simultaneously calculating system reliability for various demand levels. Therefore, this paper develops a simulation-based algorithm to estimate system reliability for all possible demand levels simultaneously such that we can eliminate the need to rely on repeat procedures for each specified d. An experimental investigation was carried out on a benchmark network and a practical network to validate the effectiveness and performance of the proposed algorithm. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： All possible demand levels Multi-state flow network (MSFN) Simulation System reliability

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