Performance of conventional laboratory tests and Xpert MTB/RIF in the diagnosis of tuberculosis by Natalia Zaporojan, Ramona Hodișan, Andreea Atena Zaha, Claudiu Zaporojan, Dana Carmen Zaha

“… The laboratory diagnosis of tuberculosis (TB) represents a continuous challenge due to the variability and complexity of the required clinical samples. Although molecular technologies have considerably improved diagnostic accuracy, their combined use with traditional methods like microscopy and bacterial culture remains a subject of debate. …”
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Multi-objective Optimization Design of Component Cooling System in HPR1000 by ZHAO Weiguang1, 2, YU Pei1, 3, ZENG Xiaobo1, 2, FAN Guangming1, 2, YAN Changqi1, 2

“…The presence of multiple user systems and devices introduces complexity into the design process, making it challenging to improve the current state through a singular optimization approach. …”
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Laser induced forward transfer imaging using deep learning by James A. Grant-Jacob, Michalis N. Zervas, Ben Mills

“…Abstract A novel approach for improving the accuracy and efficiency of laser-induced forward transfer (LIFT), through the application of deep learning techniques is presented. …”
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Testing, tracing and isolation in compartmental models. by Simone Sturniolo, William Waites, Tim Colbourn, David Manheim, Jasmina Panovska-Griffiths

“…An alternative used in practice is the application of agent- or individual-based models (ABM). However ABMs are complex, less well-understood and much more computationally expensive. …”
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Overview of Deep Learning Algorithms and Optimizers for Brain Tumor Segmentation by Nisha Purohit, Chandi Prasad Bhatt

“…Achieved high segmentation accuracy in brain tumor detection, outperforming traditional methods with improved Dice scores, precision, and computational efficiency. …”
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Transformer Fault Diagnosis Based on Knowledge Distillation and Residual Convolutional Neural Networks by Haikun Shang, Yanlei Wei, Shen Zhang

“…Dissolved Gas Analysis (DGA) of transformer oil is a critical technique for transformer fault diagnosis that involves analyzing the concentration of gases to detect potential transformer faults in a timely manner. …”
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Framework for the Multi-Objective Optimization of Hybrid Fuel Cell System Design and Operation by Luis M. Winkler, Alexander Kabza, Michael A. Danzer, Herbert Palm

“…Fuel cell systems (FCSs) are based on a number of components whose electrochemical and physical interactions during operation are not fully understood either by empirical experience or by extensive modeling. The related FCS complexity limits technological applications and success. …”
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Infrastructure of interconnected microgrids: A review by Moshammed Nishat Tasnim, Tofael Ahmed, Shameem Ahmad, GM Shafiullah

“…Then, numerous factors like cost, reliability, scalability, flexibility, complexity, and efficiency that play a significant role in evaluating the performance of IMG structures are identified to present a comparative analysis among various architectural topologies. …”
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Reservoir direct feedback alignment: deep learning by physical dynamics by Mitsumasa Nakajima, Yongbo Zhang, Katsuma Inoue, Yasuo Kuniyoshi, Toshikazu Hashimoto, Kohei Nakajima

“…Abstract The rapid advancement of deep learning has motivated various analog computing devices for energy-efficient non-von Neuman computing. While recent demonstrations have shown their excellent performance, particularly in the inference phase, computation of training using analog hardware is still challenging due to the complexity of training algorithms such as backpropagation. …”
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Sustainability through lignin valorization: recent innovations and applications driving industrial transformation by Poulose Sarojam Jiju, Anil Kumar Patel, Nalinakshan Sreevidya Shruthy, Saseendran Shalu, Cheng-Di Dong, Reeta Rani Singhania

“…Despite its significant potential, lignin valorization is constrained by challenges including structural complexity, inefficient processing, and scalability limitations. …”
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ANTIFUNGAL POTENTIAL OF BIOACTIVE COMPOUNDS OF BIOWASTE FRUIT PEEL OF PUNICA GRANATUM AGAINST PATHOGENIC FUNGI by RICHA SAXENA, RICHA SHARMA, GAJANAND SHARMA, PANKAJ SAXENA

“…Therefore, the current study aims to account the PG II fraction of biowaste fruit peel of P. granatum is a major source of polyphenolic complexes. Although, the present study recommended the pomegranate biowaste fruit peel that can place as a relatively more precious plant source of herbal secondary metabolites for rising novel efficient food-pharma constituents with encouraging human being fitness.…”
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A New Multi-granular 2-Tuple WASPAS-H Approach for Evaluating Water Resources for Olive Tree Irrigation under Group Decision-Making by Wiem Daoud-BenAmor, Hela Moalla Frikha

“…Abstract In multiple criteria decision aid (MCDA) problems, evaluating and selecting alternatives across numerous criteria often presents a significant challenge. …”
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Characterization and Modelling of Potential Seaborne Disasters, in the ANA Region by Ashraf Labib, Dylan Jones, Natalia Andreassen, Rune Elvegård, Mikel Dominguez Cainzos

“…We demonstrate how such tools can be used by applying some of them to a selective case study and drawing lessons learned from the application of root cause analysis, which can help emergency response organisations with preparedness work and hence more efficient response. …”
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Predicting Wheat Potential Yield in China Based on Eco-Evolutionary Optimality Principles by Shen Tan, Shengchao Qiao, Han Wang, Sheng Chang

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Thermodynamic analysis of an isothermal redox cycle for vacuum carbothermal ceria reduction and carbon dioxide splitting for solar fuels production by Karinate Valentine Okiy

“…The transition to sustainable energy systems necessitates efficient solar-driven fuel production technologies. …”
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FPG-AI RNN: A Technology-Agnostic Framework for the Automatic Acceleration of LSTM/GRU-Based Models on FPGAs by Tommaso Pacini, Pietro Nannipieri, Silvia Moranti, Luca Fanucci

“…FPGAs have emerged as an efficient technology for accelerating these algorithms, especially in resource- and power-constrained platforms such as edge devices. …”
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A comprehensive study of recent maximum power point tracking techniques for photovoltaic systems by Mohammed Hamouda Ali, Mohammad Zakaria, Sally El-Tawab

“…The results show AI techniques have a tracking efficiency of almost 99% when compared to other examined approaches, and they give quick and efficient tracking speed.…”
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Capacitive deionisation for water desalination review: experimental and simulation by Rokhsareh Akbarzadeh, Mathias Ernst, Robert Meißner, Bodo Fiedler

“…Key working principles and advancements, including innovations in electrode materials, synthesis methods, and reactor design, are examined to improve ion removal efficiency, selectivity, energy use, and system durability. …”
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Secure and Lightweight Cipher for Resource-constrained IoT Healthcare Applications using Snake Key Generation by Saja Kareem Ismael, Mohamed Ibrahim Shujaa, Ahmed Bahaaulddin A. Alwahhab

“…This study aims to provide a comprehensive and comparative analysis to support the continued evolution of secure, efficient and scalable cryptographic solutions within IoT healthcare, demonstrating the importance of selecting the most effective key generation technique to address the unique security challenges of this new field. …”
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AHA: Design and Evaluation of Compute-Intensive Hardware Accelerators for AMD-Xilinx Zynq SoCs Using HLS IP Flow by David Berrazueta-Mena, Byron Navas

“…We outline criteria for selecting algorithms to improve speed and resource efficiency in HLS design. …”
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