Technical research and application prospects of lignocellulose biotransformation by PAN Runze, MOU Lu, QIU Min, JIANG Wankui, ZHANG Wenming, JIANG Yujia*, XIN Fengxue*, JIANG Min

“…Lignocellulose, as an abundant renewable biomass resource, holds immense potential for the production of biofuels and biochemicals. However, its complex structure presents challenges to achieving optimal efficiency in lignocellulose biotransformation. …”
Get full text

Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees by Shobha Aswal, Neelu Jyothi Ahuja, Ritika Mehra

“…The ODT classifier introduces flexibility in decision boundaries, which enables it to capture complex linkages between biomedical data. The proposed MLSC model effectively handles high-dimensional, imbalanced lung cancer datasets using TCGA_LUSC_2016 and TCGA_LUAD_2016 modalities, achieving superior precision, recall, F-measure, and execution efficiency. …”
Get full text

Intelligent resource scheduling scheme for UAV swarm collaborative sensing by ZHAO Pengcheng, LI Tianyang, LENG Supeng, XIONG Kai

“…Adaptive sensing mode selection, stepwise computation offloading, and competitive bandwidth allocation were integrated to achieve heterogeneous resource coordination across communication, sensing, and computation (CSC), thereby enhancing collaborative sensing efficiency. …”
Get full text

Optimizing Lecture Scheduling Using Genetic Algorithm: A Case Study at Universitas Riau by Reno Widi Respati, Dian Ramadhani

“…Genetic algorithms were selected due to their effectiveness in solving complex optimization problems and producing efficient solutions in a relatively short time. …”
Get full text

From Traditional Product Lifecycle Management Systems to Blockchain-Based Platforms by Mubashir Hayat, Herwig Winkler

“…However, these PLMs face certain challenges in managing the complex and decentralized product lifecycles. <i>Methods:</i> To this aim, this work investigates the currently implemented PLMs used in industries through the exploration of various software reviews and selection websites. …”
Get full text

Analysis of Queue Models in Simulation Applications by Abdullah Sevin, Durdali Atilgan, Göktuğ Yaman

“…The results indicate that model selection significantly impacts system efficiency, with certain models exhibiting superior performance under specific conditions. …”
Get full text

TOPSIS method-based decision-making model for bipolar quadripartitioned neutrosophic environment by G. Muhiuddin, Mohamed E. Elnair, Satham Hussain S, Durga Nagarajan

“…In the domain of renewable energy, selecting the most suitable energy source involves navigating complex decision-making processes influenced by multiple criteria and inherent uncertainties. …”
Get full text

Research Progress and Technical Challenges of Geothermal Energy Development from Hot Dry Rock: A Review by Yilong Yuan, Xinli Zhang, Han Yu, Chenghao Zhong, Yu Wang, Dongguang Wen, Tianfu Xu, Fabrizio Gherardi

“…Key technologies include the high-resolution exploration and characterization of HDR, efficient and complex fracture network reservoir creation, effective microseismic control, fracture network connectivity, and reservoir characterization. …”
Get full text

An enhanced fruit fly optimization algorithm with random spare and double adaptive weight strategies for oil and gas production optimization by Xu Wang, Jingfu Shan

“…Abstract In the field of petroleum extraction, enhancing oil and gas recovery processes is essential for sustaining the economic viability of energy enterprises and addressing the continuously increasing global energy demand. Efficient subsurface production plays a pivotal role in strategic decision-making, including the selection of optimal drilling sites and the determination of effective well control parameters. …”
Get full text

Unveiling Performance and Genetic Estimates of Tongil-Type Rice Genotypes for Yield Improvement and Breeding by Barnabas Justo Sitta, Lupakisyo Mwakyusa, William Titus Suvi, Fatma Suleiman Ally, Mbaraka Abbakari Batare, Sophia Kashenge-Killenga, Sang-Bok Lee

“…However, owing to its complex genetic basis, selecting for yield alone is often insufficient. …”
Get full text

A paradigm shift in simulating affinity maturation to elicit broadly neutralizing antibodies by Fahsai Nakarin, Kayla G. Sprenger

“…This review reassesses affinity-based selection models and proposes a new paradigm that integrates multifactorial processes, including stochastic B cell decisions within GC dynamics, antigen extraction efficiency influenced by probabilistic bond rupture, and avidity-driven BCR binding alterations and representations on multivalent antigens. …”
Get full text

A practical tutorial for optimizing electromembrane extraction methods by response surface methodology by Samira Dowlatshah, Anne Oldeide Hay, Line Noreng, Frederik André Hansen

“…The tutorial aims to make RSM accessible to both novice and moderately experienced users, promoting its broader application in analytical chemistry. By simplifying the complex optimization process, this tutorial supports the development of robust, efficient, and green EME methods.…”
Get full text

Indoor Mobile Localization in Mixed Environment with RSS Measurements by Zhengguo Cai, Lin Shang, Dan Gao, Kang Zhao, Yingguan Wang

“…This paper proposes an indoor mobile localization scheme with RSS measurements in a mixed LOS and NLOS environment. First, a new efficient composite measurement model is induced and validated, which approximates the complex effects of LOS and NLOS channels. …”
Get full text

A Novel Hypersonic Target Trajectory Estimation Method Based on Long Short-Term Memory and a Multi-Head Attention Mechanism by Yue Xu, Quan Pan, Zengfu Wang, Baoquan Hu

“…The method captures the target dynamics by using the temporal processing capability of LSTM, and at the same time improves the efficiency of information utilization through the attention mechanism to achieve accurate prediction. …”
Get full text

Building electrical consumption patterns forecasting based on a novel hybrid deep learning model by Nasser Shahsavari-Pour, Azim Heydari, Farshid Keynia, Afef Fekih, Aylar Shahsavari-Pour

“…Accurate prediction of electrical energy consumption in smart buildings is a critical challenge for optimizing energy management systems, reducing costs, and improving overall efficiency. Existing models often fail to account for the complex and nonlinear characteristics of energy consumption patterns, resulting in suboptimal prediction performance. …”
Get full text

A scenario-based alternative to conventional tools for choosing the strategy in turbulent environments by Ali Sorourkhah

“…This study provides managerial implications by showing that despite the classic strategy selection approach being appropriate for austere environments and the MADM models being reasonable for complex environments, RA  produces more reliable results when dealing with turbulent environments.…”
Get full text

Improved RT-DETR for Infrared Ship Detection Based on Multi-Attention and Feature Fusion by Chun Liu, Yuanliang Zhang, Jingfu Shen, Feiyue Liu

“…Additionally, a channel attention module is employed during feature selection, leveraging high-level features to filter low-level information and enabling efficient multi-level fusion. …”
Get full text

Exploring Flexible Penalization of Bayesian Survival Analysis Using Beta Process Prior for Baseline Hazard by Kazeem A. Dauda, Ebenezer J. Adeniyi, Rasheed K. Lamidi, Olalekan T. Wahab

“…High-dimensional data have attracted considerable interest from researchers, especially in the area of variable selection. However, when dealing with time-to-event data in survival analysis, where censoring is a key consideration, progress in addressing this complex problem has remained somewhat limited. …”
Get full text

Fine-Tuned Machine Learning Classifiers for Diagnosing Parkinson’s Disease Using Vocal Characteristics: A Comparative Analysis by Mehmet Meral, Ferdi Ozbilgin, Fatih Durmus

“…In addition to that, the choice of relevant vocal features, in conjunction with the Chi-Square feature selection method, greatly enhanced the computational efficiency and classification performance. …”
Get full text

Streamflow Prediction at the Intersection of Physics and Machine Learning: A Case Study of Two Mediterranean‐Climate Watersheds by S. Adera, D. Bellugi, A. Dhakal, L. Larsen

“…Additionally, hybrid model insensitivity to PB model parameter calibration and structural complexity suggests that uncalibrated or less complex PB models could be used in hybrid models without any loss of streamflow prediction accuracy, improving model construction efficiency. …”
Get full text