3D geological model reconstruction and collapse risk evaluation of old goaf in Dunqiu iron mine by Hailong Wang, Zhenhua Zhao, Lin Han, Zhenjiang Luo

“…Abstract The complexity of goafs put forward higher requirements for detection methods. …”
Get full text

Cybersecurity Framework for IoT-Integrated Electric Power Information Systems by Mamyrbayev Orken, Berdysheva Dinara Abdumauvlenovna, Zhetpisbayeva Ainur Tursynkanovna, Nurbapa Mekebayev, Tansaule Serikov, Shermantayeva Zhazira, Kydyrbekova Aizat

“…This study develops and evaluates a comprehensive cybersecurity framework tailored for IoT-integrated power grids, addressing the unique vulnerabilities and complexities of these critical systems. A multi-layered security approach was designed, incorporating device authentication, encrypted communication, and machine learning-based anomaly detection. …”
Get full text

Study on influence of dense medium on impact pressure of detonation waves subjected to contact blasts by MENG Yuanpei, MA Yue, HE Yuan, GUO Lei, LING Qi, ZHOU Jie, WANG Chuanting, HE Yong

“…Moreover, since obtaining the zero-pressure sound impedance is much easier than that by using the Hugoniot relation, the present model greatly simplifies the computational complexity and provides the useful references for predicting the pressure values incident on novel dense medium.…”
Get full text

Paint Loss Detection and Segmentation Based on YOLO: An Improved Model for Ancient Murals and Color Paintings by Yunsheng Chen, Aiwu Zhang, Jiancong Shi, Feng Gao, Juwen Guo, Ruizhe Wang

“…Third, SPD-Conv replaces traditional pooling layers, utilizing space-to-depth transformation to improve the model’s ability to perceive deteriorated areas of varying sizes. …”
Get full text

Performance Characterization of Hardware/Software Communication Interfaces in End-to-End Power Management Solutions of High-Performance Computing Processors by Antonio del Vecchio, Alessandro Ottaviano, Giovanni Bambini, Andrea Acquaviva, Andrea Bartolini

“…PM is composed of multiple interacting layers. High-level controllers (HLCs) involve application-level policies, operating system agents (OSPMs), and PM governors and interfaces. …”
Get full text

Enhancing knee osteoarthritis diagnosis with DMS: a novel dense multi-scale convolutional neural network approach by Di Zhang, Yuting Dong, Yao Xu, Junhui Qian, Miaoyu Ye, Qiang Yuan, Jian Luo

“…This module utilizes dense connections in convolutions of varying sizes (1 × 1, 3 × 3, 5 × 5) and across layers, enhancing feature reuse and complexity recognition, thereby improving recognition capabilities. …”
Get full text

Coupling HEC-RAS and AI for River Morphodynamics Assessment Under Changing Flow Regimes: Enhancing Disaster Preparedness for the Ottawa River by Mohammad Uzair Anwar Qureshi, Afshin Amiri, Isa Ebtehaj, Silvio José Guimere, Juraj Cunderlik, Hossein Bonakdari

“…The Next-Gen GMDH addresses the complexity and limitations of standard GMDH by incorporating non-adjacent connections and optimizing intermediate layers, significantly reducing computational overhead while enhancing performance. …”
Get full text

Coordination Polymers Bearing Angular 4,4′-Oxybis[<i>N</i>-(pyridin-3-ylmethyl)benzamide] and Isomeric Dicarboxylate Ligands: Synthesis, Structures and Properties by Yung-Hao Huang, Yi-Ju Hsieh, Yen-Hsin Chen, Shih-Miao Liu, Jhy-Der Chen

“…Reactions of the angular 4,4′-oxybis[<i>N</i>-(pyridin-3-ylmethyl)benzamide] (<b>L</b>) with dicarboxylic acids and transition metal salts afforded non-entangled {[Cd(<b>L</b>)(1,3-BDC)(H₂O)]∙2H₂O}_n (1,3-BDC = 1,3-benzenedicarboxylic acid), <b>1</b>; {[Cd(<b>L</b>)(1,4-HBDC)(1,4-BDC)_0.5]∙2H₂O}_n (1,4-BDC = 1,4-benzenedicarboxylic acid), <b>2</b>; {[Cu₂(<b>L</b>)₂(1,3-BDC)₂]∙1.5H₂O}_n, <b>3</b>; {[Ni(<b>L</b>)(1,3-BDC)(H₂O)]∙2H₂O}_n, <b>4</b>; {[Zn(<b>L</b>)(1,3-BDC)]∙4H₂O}_n, <b>5</b>; {[Zn(<b>L</b>)(1,4-BDC)]∙2H₂O}_n, <b>6</b>; and [Cd₃(<b>L</b>)₂(1,4-BDC)₃]_n, <b>7</b>, which have been structurally characterized by using single-crystal X-ray diffraction. Complexes <b>1</b>–<b>5</b> and <b>7</b> are 2D layers, giving (6⁴·8·10)(6)-2,4L3, (4²·8²·10²)(4²·8⁴)₂(4)₂, (4·5·6)(4·5⁵·6³·7)-3,5L66, (6⁴·8·10)(6)-2,4L3, interdigitated (8⁴·12²)(8)₂-2,4L2 and (3⁶·4⁶·5³)-<b>hxl</b> topologies, respectively, and <b>6</b> is a 1D chain with the (4³·6²·8)(4)-2,4C3 topology. …”
Get full text

DRBD-YOLOv8: A Lightweight and Efficient Anti-UAV Detection Model by Panpan Jiang, Xiaohua Yang, Yaping Wan, Tiejun Zeng, Mingxing Nie, Zhenghai Liu

“…The model integrates several innovations, including the application of a Re-parameterization Cross-Stage Efficient Layered Attention Network (RCELAN) and a Bidirectional Feature Pyramid Network (BiFPN), to enhance feature processing capabilities while maintaining a lightweight design. …”
Get full text

AI-driven thermography-based fault diagnosis in single-phase induction motor by Muhammad Atif, Shoaib Azmat, Faisal Khan, Fahad R. Albogamy, Adam Khan

“…Moreover, our IRT-based SIMs bearing fault diagnosis methods demonstrate a reduction in architectural complexity compared to prevailing state-of-the-art approaches.…”
Get full text

Adversarial Threats to Cloud IDS: Robust Defense With Adversarial Training and Feature Selection by Hariprasad Holla, Shashidhar Reddy Polepalli, Arun Ambika Sasikumar

“…Explicit computational overhead analysis demonstrates that our proposed defense approach introduces modest additional training complexity (approximately 25% overhead) without significantly impacting inference speed, explicitly confirming practical feasibility for real-time deployment. …”
Get full text

A new method for identifying reservoir fluid properties based on well logging data: A case study from PL block of Bohai Bay Basin, North China by Song Jian, Zhang Hao, Guo Jianhong, Han Zihao, Guo Jianchao, Zhang Zhansong

“…The method proposed in this article not only addresses the challenge of evaluating water-flooded layers in the absence of key logging curves but also offers a novel approach to reservoir fluid identification using geophysical logging data. …”
Get full text

Assessment of Socio-Economic Impacts of Hyperloop Technology on European Trade Routes by Aleksejs Vesjolijs, Yulia Stukalina, Olga Zervina

“…Both positive and negative socio-economic impacts are identified, highlighting the complexities of adopting such a disruptive technology. …”
Get full text

Fusion of non-iterative deep neural network feature extraction with kernel extreme learning machine for plant disease classification by Kirti Kirti, Navin Rajpal, Virendra P. Vishwakarma, Pramod Kumar Soni

“…Unlike conventional deep learning methods that rely on iterative training and heavy resources, our approach uses a non-iterative, single-pass KELM classifier to significantly reduce computational complexity while maintaining high classification performance. …”
Get full text

Challenges in AI-driven multi-omics data analysis for Oncology: Addressing dimensionality, sparsity, transparency and ethical considerations by Maryem Ouhmouk, Shakuntala Baichoo, Mounia Abik

“…Artificial intelligence, particularly deep learning, is becoming increasingly prominent in multi-omics research, especially since traditional statistical models struggle to handle the complexity and high dimensionality of such data. By effectively combining different types of omics data, AI techniques can unveil hidden connections, detect biomarkers, and improve disease prediction through the integration of multi-omics layers and modalities, which can lead to significant advancements in precision medicine. …”
Get full text

Increasing lipid accumulation in Chlamydomonas by serial knocking out of DYRKP1 kinase and ADP-glucose pyrophosphorylase by Minjae Kim, Ji Yeon Kim, Kyong Ha Han, Hyeon Ho Shin, EonSeon Jin

“…Overall, our study underscores the layered complexity of carbon partitioning in C. reinhardtii and the importance of context-dependent metabolic regulation in optimizing lipid production.…”
Get full text

DSNET: A Lightweight Segmentation Model for Segmentation of Skin Cancer Lesion Regions by Yucong Chen, Guang Yang, Xiaohua Dong, Junying Zeng, Chuanbo Qin

“…Second, we designed a dynamic gate attention module as a bridge between the encoding and decoding layers to further improve the expressiveness of flat texture information. …”
Get full text

Multi-Stage Adversarial Defense for Online DDoS Attack Detection System in IoT by Yonas Kibret Beshah, Surafel Lemma Abebe, Henock Mulugeta Melaku

“…The framework consists three defense layers: 1) the Resilient Adversarial Detector and Purification (RADP), which detects and purifies adversarial attacks targeting online DDoS attack detection systems against multiple and unknown adversarial attacks. 2) a multiple classifier, that increase complexity for an attacker to replicate the DDoS attack detection model. 3) the Multi-Armed Bandit (MAB) with Thompson Sampling, which dynamically selects the optimal classifier or ensemble of classifiers for each incoming traffic request. …”
Get full text

ANALYSING THE POSIBILITY OF FUEL FILTER ELEMENTS OPERATING EFFECTIVINESS EVALUATION WITH X-RAY FLUORESCENSE METHOD by M. L. Nemchikov, A. N. Kozlov, K. I. Gryadunov, A. M. Meleshnikov

“…The author dwells upon the problems of the technical condition of refueling complexes equipment continuous monitoring, which is an important factor in ensuring the safety and regularity of flights. …”
Get full text

Design of Big Data Intelligent Operation and Maintenance Platform for Urban Rail Transit Signaling System by ZHANG Chong, HUANG Mengtao, AI Xin

“…Method Based on the current state of signaling system maintenance operations and the characteristics of signaling system data, a signaling system big data IOM platform is constructed using a layered data approach to meet practical application needs. …”
Get full text