Thanh Tuan Nguyen¹, Cuong Nguyen Dinh Hoa^2,3,*

Intelligent Automation & Soft Computing, Vol.41, pp. 1-24, 2026, DOI:10.32604/iasc.2026.078344 - 12 May 2026

Abstract Accurate crude oil price forecasting is critical for global economic stability but remains an exceptionally challenging task due to the data’s complex, non-linear, and non-stationary nature. Deep learning models like LSTMs are widely favored. However, the dominant research trend currently focuses on increasingly complex hybrid and ensemble architectures. These models often suffer from high computational overhead, intricate tuning processes, and potential overfitting, raising critical questions about their necessity. In this paper, we challenged the assumption that complexity is required for high performance by proposing and evaluating a streamlined 1D-CNN model. We conducted a comprehensive evaluation… More >

Chirag Devendrakumar Parikh^*

Journal on Internet of Things, Vol.8, pp. 109-125, 2026, DOI:10.32604/jiot.2026.077412 - 12 May 2026

Abstract Secure IoT ecosystems are based on the notion that device authentication is reputable. Traditional approaches typically use software identifiers or stored cryptographic keys, which can be cloned, copied, or modified by physical access or supply-chain interference. The current paper presents a hardware fingerprinting system that is based on compliance to enhance the strength of the authentication of the IoT device, that is, to connect physical device properties with organized conformity practices. The tool exploits intrinsic electrical and manufacturing differences in parts to produce device-specific fingerprints and compares these fingerprints with compliance processes, including component validation, More >

Akash Garg^*

Journal on Artificial Intelligence, Vol.8, pp. 273-298, 2026, DOI:10.32604/jai.2026.079401 - 12 May 2026

Abstract As cyber threats continue to evolve in scale and sophistication, the need for intelligent and adaptive security mechanisms has become increasingly urgent. Intrusion Detection Systems (IDS) are critical components in safeguarding computer networks from malicious activities. This review paper presents a comprehensive analysis of recent advancements in deep learning-based IDS, examining various architectures such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), autoencoders, and generative adversarial networks (GANs). The study compares traditional intrusion detection techniques with modern deep learning approaches, highlighting their strengths, limitations, and suitability for real-world deployment. Special attention is given to… More >

Jianping Wu¹, Nian Li^2,*, Libin Dong³, Ping Zhang⁴

Journal on Artificial Intelligence, Vol.8, pp. 259-271, 2026, DOI:10.32604/jai.2026.075753 - 12 May 2026

Abstract This paper presents a static fusion framework that enhances object detection by integrating camera and LiDAR-based detection results. The proposed method focuses on associating 2D candidate bounding boxes from a camera detector with 3D candidate boxes from a LiDAR detector using an Intersection over Union (IoU)-based matching approach. To enhance the quality of 2D detection, we refine the baseline Cascade R-CNN detector by incorporating a dual self-attention mechanism into both the backbone and the region proposal network (RPN), resulting in the DA-Cascade R-CNN. This enhancement strengthens the network’s ability to detect small or distant objects More >

Shan Yuan^1,2, Fei Wang^2,*, Jinping Zhang^2,*, Yuxin Jiang², Kaibo Gu², Chenhao Qiao², Yutong Bai², Jie Yu², Quan Chen¹, Dedi Han³

Chalcogenide Letters, Vol.23, No.4, 2026, DOI:10.32604/cl.2026.082805 - 09 May 2026

Abstract Sodium metal batteries stand as a highly promising electrochemical energy storage system; however, their commercialization is severely impeded by challenges such as anode dendrite formation, the shuttle effect of highly reactive intermediates at the cathode, electrode volume expansion, and interfacial instability. Owing to their high electronic conductivity, high theoretical specific capacity, and superior sodiumphilic affinity, tellurium and its tellurides have emerged as pivotal functional materials for enhancing the performance of sodium metal batteries. This study reviews the advancements in their applications within sodium metal batteries, elaborates rational design strategies carbon-based composites, alloying, and heterostructure construction More >

Mohsin Sayeed^1,*, O. P. Singh¹, Vishal Singh Chandel², Azam Raza³, Kamal Batcha Mohamed Ismail⁴, Mayur Khan⁵, Navshad Alam^6,7, Mohammad Shariq⁸

Chalcogenide Letters, Vol.23, No.4, 2026, DOI:10.32604/cl.2026.079721 - 09 May 2026

Abstract An eco-friendly one-pot hydrothermal method was developed to synthesize molybdenum disulfide/graphene oxide (MoS₂/GO) nanocomposites for high-performance supercapacitor applications. X-ray diffraction (XRD) analysis confirmed the presence of the MoS₂ crystalline phase, with reduced peak intensities upon GO incorporation, indicating suppressed crystallite growth. Scanning electron microscopy (SEM) revealed rod-like MoS₂ structures uniformly distributed across layered GO sheets, and energy-dispersive spectroscopy (EDS) confirmed the presence of Mo, S, C, and O elements. Raman and FTIR analyses verified strong interfacial interactions between MoS₂ and GO. Brunauer–Emmett–Teller (BET) measurements revealed a mesoporous structure with a specific surface area of ~31.7 m² g⁻¹ and… More >

Bushra A. Hasan¹, Ameer J. Fadhl², Ahmad A. Hasan¹, Yasser A. Jebbar^3,*

Chalcogenide Letters, Vol.23, No.4, 2026, DOI:10.32604/cl.2026.079634 - 09 May 2026

Abstract Copper zinc tin sulfide selenide, Cu₂ZnSn(S_1−xSe_x)₄, absorbers are promising earth-abundant and environmentally benign materials for low-cost photovoltaic applications. This study investigates the structural and optical properties of Cu₂ZnSn(S_1−xSe_x)₄ nanostructured thin films prepared by pulsed laser deposition using melt-quenched targets with selenium compositions x = 0.0–1.0. X-ray diffraction revealed that films with low selenium content remained amorphous, whereas higher selenium incorporation promoted the formation of polycrystalline kesterite–stannite phases with preferred orientations along (112), (200), (220), and (312). The crystallite size increased from 12.3 to 17.9 nm as selenium reached x = 1.0, indicating enhanced crystal growth. Atomic force… More >

A. A. Orujova¹, T. F. Yusibova¹, R. Sh. Agayeva¹, G. A. Ismayilbeyli¹, N. I. Guliyev^2,*

Chalcogenide Letters, Vol.23, No.4, 2026, DOI:10.32604/cl.2026.077900 - 09 May 2026

Abstract Warburg impedance models the process of diffusion of mobile ions from the electrode to the diffusion layer under a sinusoidal voltage applied at one polarity of an electrochemical cell, and the diffusion of mobile ions to the electrode at the other polarity. As a result, the process does not go beyond the diffusion layer. In this case, the diffusion of Tl⁺¹ ions in the T l I n S 2 crystal (as well as in solid solutions) after 25 Mrad irradiation is considered to be responsible for the formation of the Warburg diffusion impedance. More >

Mammadov Israil Musa^*

Chalcogenide Letters, Vol.23, No.4, 2026, DOI:10.32604/cl.2026.075947 - 09 May 2026

Abstract Erbium-doped SnTe (Sn_1−xEr_xTe) single crystals were synthesized to investigate the influence of erbium incorporation on phase stability, crystal structure, and thermophysical behavior relevant to thermoelectric applications. Single crystals with nominal compositions x = 0.00–0.10 were grown using the vertical Bridgman technique under controlled thermal conditions. X-ray diffraction analysis confirmed that at low erbium concentrations (x ≤ 0.02–0.03), erbium is substitutionally incorporated into the cubic NaCl-type SnTe lattice without detectable secondary phases. At higher erbium contents (x ≥ 0.05), Er-rich secondary phases such as ErTe and Er₂Te₃ precipitate within the SnTe matrix, indicating a limited solubility of… More >

Computers, Materials & Continua Editorial Office

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.083417 - 08 May 2026

Abstract This article has no abstract. More >