Results in EngineeringPub Date : 2026-03-01Epub Date: 2025-11-22DOI: 10.1016/j.rineng.2025.108378
Somya R. Goyal
{"title":"Effective software defect prediction with deep neural networks","authors":"Somya R. Goyal","doi":"10.1016/j.rineng.2025.108378","DOIUrl":"10.1016/j.rineng.2025.108378","url":null,"abstract":"<div><div>Software Defect Prediction (SDP) allows the early identification for potentially defective modules by uncovering the patterns in the historical defect data that enables targeted and effective testing. It is crucial for large and complex software, where testing is expensive and time-consuming. By leveraging deep neural networks, SDP models facilitate the quicker identification of defects, leading to faster resolution and better software quality. This paper proposes a Deep Network based SDP model (DN_SDP) to investigate quantitatively how Deep Neural Network (DNN) performance differs from that existed in traditional machine learning SDP model (or Shallow Network based SDP model aka SN_SDP). A variant of DN_SDP (i.e., GAN+DN_SDP) is presented to empirically handle class imbalance for deep model and compared with selected baselines. An empirical comparison between the traditional model and deep learning model is made considering the impact of Dataset Size (DS) and Class Imbalance (CI) on the predictors’ performance over 11 datasets from PROMISE repository and 8 evaluation metrics. Execution of a series of experiments and Friedman Test with Bonferroni post-hoc Test confirms that DN_SDP alleviates DS and CI issue occurring in SN-SDP and improves the AUC by 8 %, F-measure by 12 %, MCC by 42 %. The alliance of DN-SDP with GAN oversampling (i.e., GAN+DN_SDP) results in improvement of 10 %, 14 %, 25 % in AUC, F-measure and MCC respectively over DN-SDP. GAN_DN_SDP outperforms baselines and achieves 17.9 % rise in F-measure.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108378"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Results in EngineeringPub Date : 2026-03-01Epub Date: 2025-11-24DOI: 10.1016/j.rineng.2025.108389
Francesco A.B. Silva, Carlo Fiorina, Jean C. Ragusa
{"title":"Optimal sensor placement and ensemble Kalman inversion for multiphysics reactor state estimation","authors":"Francesco A.B. Silva, Carlo Fiorina, Jean C. Ragusa","doi":"10.1016/j.rineng.2025.108389","DOIUrl":"10.1016/j.rineng.2025.108389","url":null,"abstract":"<div><div>This work presents a computational approach for parameter inference and state reconstruction, applied to a one-dimensional, physics-based model of a nuclear energy system. Accurate estimation of internal reactor parameters is hindered by limited sensor coverage and the inability to directly measure key internal quantities. To address this, we formulate an inverse problem for a steady-state molten salt reactor loop model governed by coupled neutron diffusion and heat transport equations. Experimental observations of temperature and thermal neutron flux are incorporated using an average D-optimal experimental design, which identifies the most informative sensor placements from a predefined sensor library. Parameter inference is performed using ensemble Kalman inversion (EnKI), a derivative-free ensemble-based method that iteratively updates parameter estimates using statistical corrections. To reduce computational cost, Gaussian process regression is employed to construct surrogate models of the forward model. Numerical experiments demonstrate that the proposed approach yields accurate and robust estimates of key physical parameters, enabling effective model calibration and uncertainty quantification in nuclear reactor applications.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108389"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Results in EngineeringPub Date : 2026-03-01Epub Date: 2025-11-28DOI: 10.1016/j.rineng.2025.108430
Yimin Song , Jinying Fan , Dong An , Hailiang Xv , Tengteng Wang
{"title":"Study on surrounding rock control performance of pile-anchored energy-absorbing hydraulic support in rockburst roadways of kilometer-deep mines","authors":"Yimin Song , Jinying Fan , Dong An , Hailiang Xv , Tengteng Wang","doi":"10.1016/j.rineng.2025.108430","DOIUrl":"10.1016/j.rineng.2025.108430","url":null,"abstract":"<div><div>Economical and effective prevention of rockbursts in kilometer-deep mines remains a critical challenge for the mining industry. We statistically analyzed rockburst occurrences and characteristics in China, reviewing structural configurations and working mechanisms of existing energy-absorbing hydraulic supports. To address application bottlenecks of current supports in deep roadways, we designed a novel pile-anchored energy-absorbing hydraulic support (PEAHS) for roadway reinforcement based on surrounding rock control and structural stability principles. The system utilizes foundation piles as coupling elements to achieve rock-pile-support interaction that collectively resists dynamic impacts. We further conducted preliminary assessment of pile specification effects on support performance, the support effect achieved by increasing the pile diameter and length was verified.Through numerical simulations of the 615 working face gateway at Longjiapbao Coal Mine (Jilin, China), we demonstrate that the PEAHS effectively controls:(1) Controlling floor heave through restriction of surrounding rock sliding; (2) Reducing surrounding rock plastic deformation via optimized plastic zone distribution; (3) Modulating surrounding rock energy dissipation patterns.Comparative analysis of four support scenarios-gantry-type hydraulic support, PEAHS, pile only, and unsupported roadway-confirms that PEAHS provides equivalent roof and rib stabilization to conventional gantry-type support while delivering superior floor restraint performance.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108430"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Results in EngineeringPub Date : 2026-03-01Epub Date: 2025-11-29DOI: 10.1016/j.rineng.2025.108510
Xiaobo Zhang , Yan Huan , Yihan Zhang , Chen Wang , Cheng Cheng , Jiarong Li
{"title":"The impacts of loads and temperatures on aircraft tyres electrical conductivity performance","authors":"Xiaobo Zhang , Yan Huan , Yihan Zhang , Chen Wang , Cheng Cheng , Jiarong Li","doi":"10.1016/j.rineng.2025.108510","DOIUrl":"10.1016/j.rineng.2025.108510","url":null,"abstract":"<div><div>During flight the static electricity is created by the friction of airframe with environments. Besides, the aircraft tyres undergo heavy loads and super speeds at takeoff, landing, taxiing and braking, and hence are exposed to severe friction with the runway. Subsequently, it creates excessive electricity during this procedure. A stray electrical discharge can fail the electronic components on the airplane and cause disasters. Therefore, the aircraft tyres are made of conductive rubber, and which expel electricity to ground in time. There has been few publication presents the electrical conduction tests of aircraft tyres, and the present research shines a light on this topic. The electrical conductivity tests of five aircraft tyres are carried out at the Aviation Tyres Science Centre. The electrical resistance are measured under vertical loads and high and low tyre temperatures. The loading and temperature effects on electrical resistance are discussed in accordance with the experimental records. More importantly, from the perspectives of tyre design and manufacturing process, the solutions aimed at enhancing the electrical conductivity performance are also proposed in this paper.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108510"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Results in EngineeringPub Date : 2026-03-01Epub Date: 2025-11-29DOI: 10.1016/j.rineng.2025.108488
Ibtissam Bouarfa , Massaab El Ydrissi , Amine Moulay Taj , Mohamed Boujoudar , El Ghali Bennouna , Abdelmajid Jamil
{"title":"Techno-economic assessment of vegetable oils as heat transfer fluids for industrial solar thermal systems applications","authors":"Ibtissam Bouarfa , Massaab El Ydrissi , Amine Moulay Taj , Mohamed Boujoudar , El Ghali Bennouna , Abdelmajid Jamil","doi":"10.1016/j.rineng.2025.108488","DOIUrl":"10.1016/j.rineng.2025.108488","url":null,"abstract":"<div><div>This study evaluates sunflower, safflower, and rapeseed oils as alternative heat transfer fluids (HTFs) for medium-temperature parabolic trough collector (PTC) applications and compares their performance with Therminol VP-1 and Delcoterm E15. A validated thermal–hydraulic model (R² = 98.5 %), supported by experimental measurements on a 1.5 kWth PTC system in Morocco, was used to assess HTF behavior under three operational methodologies: fixed thermal power, fixed Reynolds number, and fixed mass flow rate. Results show that vegetable oils achieve slightly higher thermal efficiency (64–65 %) than synthetic fluids (62–63.5 %), attributed to their superior thermal conductivity and specific heat. Although their higher viscosity increases pumping demand, the associated penalty (12–15 W per 1.3 kWth) represents only 0.9–1.2 % of the useful thermal output, indicating minimal impact on overall system performance. At larger scales, vegetable oils offer substantial economic advantages: a 10 MWth solar field requires 400–450 k€ less initial HTF investment than synthetic oils. Application mapping shows that vegetable oils are best suited for industrial processes below 200 °C—common in food processing, textiles, and pharmaceuticals—while Delcoterm E15 remains optimal for 150–250 °C and Therminol VP-1 for >300 °C applications. These results demonstrate that vegetable oils provide a cost-effective, environmentally benign pathway for expanding solar industrial heat deployment, particularly in developing economies and small-to-medium enterprises.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108488"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Results in EngineeringPub Date : 2026-03-01Epub Date: 2025-12-06DOI: 10.1016/j.rineng.2025.108460
Mohith V , Sakthivel R
{"title":"A review on selective in-memory computing processors: Potential alternative to AI-driven applications","authors":"Mohith V , Sakthivel R","doi":"10.1016/j.rineng.2025.108460","DOIUrl":"10.1016/j.rineng.2025.108460","url":null,"abstract":"<div><div>In-memory computing (IMC) is a paradigm-shifting approach to data processing that eliminates the sluggishness of transferring data between memory and processing units. By integrating computation directly within the memory, IMC accelerates performance for data-dominant applications like artificial intelligence (AI), machine learning, big data analytics, and edge computing. This approach exploits the parallelism and proximity of memory elements to achieve lower latency, higher energy efficiency, and greater scalability compared to traditional Von Neumann architectures. Emerging memory technologies, including resistive RAM (ReRAM), phase-change memory (PCM), and spintronic devices, are key enablers of IMC, providing the foundation for non-volatile and densely packed memory arrays capable of performing arithmetic and logic operations. This work highlights the potential of IMC to transform computational paradigms by addressing the memory wall and energy constraints, driving innovation in both hardware design and software optimization to meet the demands of future computing workloads. This paper presents all the Non-Von-Neumann computational paradigm computing concepts, distinct memory devices and the IMC architecture suitable for AI-driven applications. The established outcome based on detailed review and analysis of IMC processors is that the potential alternative for data-dominant applications is In-memory computing due to its capability and efficiency of handling huge data.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108460"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Results in EngineeringPub Date : 2026-03-01Epub Date: 2025-12-01DOI: 10.1016/j.rineng.2025.108524
Mohamed Elashmawy , Mohamed M.Z. Ahmed , Wissam H. Alawee , Swellam W. Sharshir
{"title":"Review of sustainable solar stills: Evaluating design trends and materials life cycle assessment","authors":"Mohamed Elashmawy , Mohamed M.Z. Ahmed , Wissam H. Alawee , Swellam W. Sharshir","doi":"10.1016/j.rineng.2025.108524","DOIUrl":"10.1016/j.rineng.2025.108524","url":null,"abstract":"<div><div>Freshwater scarcity challenges are increasing due to the shortage of accessible, clean water sources. Solar water distillation is a promising strategy for future development. This study provides a clear understanding by reviewing various solar still types, including the basin solar still (BSS), stepped solar still (SSS), Pyramid solar still (PSS), tubular solar still (TSS), and hemispherical solar still (HSS). The present study provides a clear comparison of various solar still types, considering their designs, performance, materials, costs, and environment impacts. This concept provided a strong tool for decision-makers to select the optimal solar still system to stakeholders’ needs. The significant findings of this study showed that the BSS type accounts for the majority of development effort in literature, has great potential, and is expected to yield additional benefits for further development. Additionally, PSS and TSS have been widely shaped, which offer great sunray accessibility. Most studies have shown that common development techniques are used across various types, such as stepped and multi-tray configurations, wicks, sensible heat storage materials (SHSM), phase change material (PCM), nano-enhanced PCMs, nanofluids, and nanocoating. This study concludes that there is no absolute best solar still type and no absolute best development technique. The suitable solar still type and development technique depends on the nature of the solar water desalination project, the number of consumers, available infrastructure, and the location of the project.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108524"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Results in EngineeringPub Date : 2026-03-01Epub Date: 2026-01-19DOI: 10.1016/j.rineng.2026.109197
G.L. Sawargaonkar , S. Rakesh , S. Kale , P.J. Kamdi , V. Padmaja-Karanam , R. Pasumarthi , P. Choudhari , A. Singh , M. Patil , M.K. Gumma , R. Singh , A.K. Padhee , M.L. Jat
{"title":"Regenerative rice farming for sustaining productivity, reducing energy demand, and methane emissions in India: A comprehensive review","authors":"G.L. Sawargaonkar , S. Rakesh , S. Kale , P.J. Kamdi , V. Padmaja-Karanam , R. Pasumarthi , P. Choudhari , A. Singh , M. Patil , M.K. Gumma , R. Singh , A.K. Padhee , M.L. Jat","doi":"10.1016/j.rineng.2026.109197","DOIUrl":"10.1016/j.rineng.2026.109197","url":null,"abstract":"<div><div>Rice is cultivated on approximately 165 million hectares in over 100 countries, serving as a staple food for >3 billion people. Asia accounts for ∼90% of global rice production, while rice contributes around 40% of India's food grain production. Traditional rice cultivation relies heavily on water resources (between 1000 and 2000 mm), consumes high labour and energy, and emits substantial amounts of methane gases. As estimated, the annual mean atmospheric concentration of methane (CH<sub>4</sub>) ranged from 1889 to 2017 ppb (2020 annual mean across India), which is critical and demands an alternative, sustainable solution. Thus, the regenerative rice system stands out as a viable option to address these environmental challenges and can contribute to sustainable agricultural development while also reducing energy demands. This method employs direct seeding in non-puddled fields. It creates an aerobic soil environment, promoting strong rice roots and a median water reduction of 52.5% (IQR: 45–60%; <em>n</em> = 16 studies), thriving on 600–700 mm. Similarly, based on field experiments, an average decrease in energy consumption of 24.5% (IQR: 6.4–42.5%; <em>n</em> = 9 studies) and a 56% reduction in methane emissions (IQR: 34–78%; <em>n</em> = 9 studies) were observed. Regenerative rice contributes to Sustainable Development Goals 2 (Zero Hunger), 12 (Responsible Production and Consumption), 13 (Climate Action), and 15 (Life on Land), while reducing environmental impact compared to a puddled rice system. To evaluate its potential for scaling, this review examines existing research on regenerative rice production systems and proposes directions for future research, extension, and policy advocacy.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 109197"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Results in EngineeringPub Date : 2026-03-01Epub Date: 2026-01-27DOI: 10.1016/j.rineng.2026.109290
Shujie Chang , Rui Guo , Jifang Geng , Xinyu Yin , Yang Yang , Fangyuan Tan
{"title":"From performance enhancement to mechanism elucidation: A comprehensive review of straw fiber-modified asphalt mixtures","authors":"Shujie Chang , Rui Guo , Jifang Geng , Xinyu Yin , Yang Yang , Fangyuan Tan","doi":"10.1016/j.rineng.2026.109290","DOIUrl":"10.1016/j.rineng.2026.109290","url":null,"abstract":"<div><div>With the widespread adoption of green and low-carbon principles in road engineering, biomass-modified materials, particularly straw fiber, have attracted considerable attention due to their environmental sustainability and customizable functionalities. This paper systematically reviews the preparation methods of straw fiber, its modification techniques, and the mechanisms by which it influences the road performance of asphalt mixtures. The results demonstrate that modification treatments significantly enhance the compatibility and interfacial adhesion between straw fiber and the asphalt matrix. Incorporating an optimal amount of straw fiber significantly improves the comprehensive road performance of asphalt mixtures, including high-temperature deformation resistance, low-temperature crack resistance, and moisture stability. Mechanistically, straw fiber reinforces the structure of the asphalt mixture through effects such as viscosity enhancement, reinforcement, and bridging, thereby optimizing stress transfer and enhancing the viscoelasticity of the mastic. Currently, further in-depth research is required to bridge discrepancies among existing studies, promote standardized applications, and enhance the correlation between microscopic mechanisms and long-term road performance.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 109290"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Physics-Informed deep operator learning framework for multiphysics heat and mass transport in rotating disk energy systems","authors":"Ali Mirzagoli Ganji , Amirali Shateri , Payam Jalili , Bahram Jalili , Davood Domiri Ganji","doi":"10.1016/j.rineng.2025.108283","DOIUrl":"10.1016/j.rineng.2025.108283","url":null,"abstract":"<div><div>Accurate prediction of coupled heat and mass transport in rotating energy systems remains a challenge due to the nonlinear interaction between magnetic, viscous, and diffusive mechanisms. This study introduces a physics-informed deep operator learning framework for modeling multiphysics flow and transport in Reiner–Rivlin fluids subjected to magnetohydrodynamic (MHD) effects, viscous dissipation, and cross-diffusion through Soret and Dufour phenomena. The hybrid methodology combines high-fidelity finite element reference solutions with deep operator networks (DeepONet) trained under physics-guided loss constraints, enabling generalization across wide parametric domains. Results show that the proposed model captures the interplay between Lorentz damping, viscous heating, and thermo-diffusion with high quantitative fidelity, achieving mean absolute errors of <0.5 % for velocity, temperature, and concentration profiles compared to numerical baselines. The surrogate efficiently predicts wall transfer metrics such as the Nusselt and Sherwood numbers across broad variations in magnetic intensity, rheological parameters, and volumetric heating rates, with a computational speed-up exceeding two orders of magnitude relative to conventional solvers. The framework demonstrates how physics-aware learning can bridge numerical accuracy and real-time predictability, providing a robust foundation for the design and optimization of rotating thermal systems.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108283"},"PeriodicalIF":7.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}