A comprehensive review of performance, innovation, challenges and future directions of desulfurization technologies by Karim Maghfour Sarkarabad, Ahad Ghaemi

“…Using cutting-edge materials like metal-organic frameworks (MOFs) and activated carbons, adsorptive desulfurization (ADS) provides reduced operating complexity and cost for lighter fuels. Although extractive desulfurization (EDS) and biomass desulfurization (BDS) demonstrate the ability to remove sulfur selectively, they are constrained by slower reaction rates and chemical or biological limitations. …”
Get full text

Heart Sound Classification Using Harmonic and Percussive Spectral Features from Phonocardiograms with a Deep ANN Approach by Anupinder Singh, Vinay Arora, Mandeep Singh

“…The feature set comprises 164 attributes, including the Chroma STFT, Chroma CENS, Mel-frequency cepstral coefficients (MFCCs), and statistical features. These are refined using the ROC-AUC feature selection method to ensure optimal performance. …”
Get full text

The Equal-Time Waypoint Method: A Multi-AUV Path Planning Approach That Is Based on Velocity Variation by Chenxin Yin, Kai Shi, Hailong Wang

“…In collaborative operations of multiple autonomous underwater vehicles (AUVs), the complexity of underwater environments and limited onboard energy make environmental adaptation and energy efficiency critical metrics for evaluating path quality. …”
Get full text

Intelligent transportation systems: A survey on modern hardware devices for the era of machine learning by Issam Damaj, Salwa K. Al Khatib, Tarek Naous, Wafic Lawand, Zainab Z. Abdelrazzak, Hussein T. Mouftah

“…To alleviate the difficulties faced in the non-trivial task of selecting suitable ML techniques and MHDs for an ITS with a specific complexity level, a performance evaluation framework is proposed. …”
Get full text

SegTrackDetect: A window-based framework for tiny object detection via semantic segmentation and tracking by Aleksandra Kos, Karol Majek, Dominik Belter

“…SegTrackDetect is optimized with inference speed in mind, offering a highly efficient pipeline while providing users with the flexibility to customize models. …”
Get full text

Thermodynamic Characteristics of the Ion-Exchange Process Involving REMs of the Light Group by Olga V. Cheremisina, Maria A. Ponomareva, Yulia A. Mashukova, Nina A. Nasonova, Maria D. Burtseva

“…The study considers the use of anion- and cation-exchange resins with different functional groups for efficient and environmentally safe REM separation. …”
Get full text

Three-Dimensional Stability Characteristics of Finite Electrified Conducting Fluids Streaming through a Porous Medium by T. M. N. Metwaly, Zakaria M. Gharsseldien

“…The quadratic dispersion equation of complex coefficients representing the system is derived and discussed. …”
Get full text

Seeing Beyond Noise: Improving Cryptocurrency Forecasting with Linear Bias Correction by Sibtain Syed, Syed Muhammad Talha, Arshad Iqbal, Naveed Ahmad, Mohammed Ali Alshara

“…The proposed methodology includes collecting cryptocurrency data and precious metal data from Coindesk and BullionVault, respectively, and then finding the optimal model input combination for each cryptocurrency by lag adjustment and correlating feature selection. Hyperparameter tuning was performed by trial-and-error technique, and an early stopping function was applied to minimize time and space complexity. …”
Get full text

Apply Ridge Regression Model to Predict the Lateral Velocity Difference of Tight Reservoirs by HAN Longfei, ZHANG Yongfei, WANG Miaomiao, LI Yu

“…The random forest algorithm is used to rank the influence factors, and the vertical wave time lag, bulk density, and compensated neutron logging curves are selected as the input parameters of the lateral wave time lag prediction model to reduce the complexity of the model. …”
Get full text

ECONOMETRIC MODELING, EVALUATION AND FORECASTING OF THE RURAL WORKFORCE SITUATION IN THE REPUBLIC OF MOLDOVA by Svetlana GOROBIEVSCHI, Liubovi DOROFEEVA

“…The more and more often use of these models in economic phenomena investigation are due to significant progresses made in the field of estimation methods of models’ parameters and that of verification tests, on which these are based on and, last but not least, that of the use of electronic calculators that allow the operative solving of the most complex economic problems. In conclusion, the authors propose a model of econometric regression between the selected variables that have a maximal level of influence on the rural migration situation in the Republic of Moldova, justified by elasticity coefficients values.…”
Get full text

Research on key technologies of safety monitoring data sharing for railway engineering construction based on blockchain by Yuhong LIU, Liang YANG, Chunhui PIAO, Zhiguo ZHANG

“…In order to solve the problems that the monitoring data was easy to be tampered with in the process of railway engineering construction safety monitoring, and the authenticity of the data might be questioned during the accountability of accidents, a blockchain-based railway engineering construction safety monitoring data sharing model was proposed.The characteristics of automatic execution of smart contracts ensured the transparency of the process of monitoring data on the chain.In the PBFT algorithm, there was a problem that the Byzantine nodes and the normal nodes were selected as the master node with the same probability, a reputation-based practical Byzantine fault tolerance algorithm was proposed.Streaming data on the chain might cause network congestion, which simplified the consensus protocol and reduced the time complexity from O(n²) to O(n).A comparative experiment was conducted using Hyperledger Caliper to prove that the delay of the improved algorithm is lower than PBFT algorithm, and the throughput is higher than PBFT algorithm.A quantitative analysis of the possibility of attack and the probability of successful attack was carried out, and it was determined that the smart contract provides tamper-proof modification for the monitoring data on the chain.Comparative analysis proves that the proposed blockchain-based railway engineering construction safety monitoring data sharing model is good than other models in terms of consensus efficiency, TPS and block generation speed.…”
Get full text

Research on key technologies of safety monitoring data sharing for railway engineering construction based on blockchain by Yuhong LIU, Liang YANG, Chunhui PIAO, Zhiguo ZHANG

“…In order to solve the problems that the monitoring data was easy to be tampered with in the process of railway engineering construction safety monitoring, and the authenticity of the data might be questioned during the accountability of accidents, a blockchain-based railway engineering construction safety monitoring data sharing model was proposed.The characteristics of automatic execution of smart contracts ensured the transparency of the process of monitoring data on the chain.In the PBFT algorithm, there was a problem that the Byzantine nodes and the normal nodes were selected as the master node with the same probability, a reputation-based practical Byzantine fault tolerance algorithm was proposed.Streaming data on the chain might cause network congestion, which simplified the consensus protocol and reduced the time complexity from O(n²) to O(n).A comparative experiment was conducted using Hyperledger Caliper to prove that the delay of the improved algorithm is lower than PBFT algorithm, and the throughput is higher than PBFT algorithm.A quantitative analysis of the possibility of attack and the probability of successful attack was carried out, and it was determined that the smart contract provides tamper-proof modification for the monitoring data on the chain.Comparative analysis proves that the proposed blockchain-based railway engineering construction safety monitoring data sharing model is good than other models in terms of consensus efficiency, TPS and block generation speed.…”
Get full text

Primary user characterization for cognitive radio wireless networks using long short-term memory by Johana Hernández, Danilo López, Nelson Vera

“…In the decision-making stage, the best available channel is selected for transmitting secondary user data in an opportunistic fashion, and the success of that stage depends on the efficiency of the primary user characterization model. …”
Get full text

Advanced fault detection methodologies and communication protocols for DC micro grid -A technical review by Athira Earath Shivadasan, Prabhakar Karthikeyan Shanmugam

“…This critical study provides valuable information for researchers and professionals aiming to refine fault detection and isolation methods and improve the efficiency of DC microgrid systems.…”
Get full text

STUDY OF QUALITY INDICATORS AND TECHNOLOGICAL CHARACTERISTICS OF LEAVES, STEMS AND FLOWERS OF <i>INULA VISCOSA </i>(L.) AS PROMISING RAW MATERIALS by R. Mussa, N. V. Sineva, V. V. Vandyshev, S. N. Suslina

“…The technological characteristics of the crushed raw materials are studied: bulk density, bulk mass, absorption coefficients of solvents with different ethanol content, based on the values of which 70% ethanol is selected as extractant for extraction. 70% ethanol is able to extract a multicomponent target complex of substances including phenolic acids, flavonoids, tannins, sesquiterpenoids. …”
Get full text

Thinned Virtual Array for Cramer Rao Bound Optimization in MIMO Radar by Xia Li, Buhong Wang

“…As an important performance indicator of DOA estimation, Cramer–Rao Bound (CRB) is closely connected to the array configuration of the system. To reduce the complexity of the system and improve CRB performance at the same time, in this paper, the virtual array of MIMO radar is designed directly by selecting outputs from matched filters at the receive side. …”
Get full text

Algorithm for solution of multicriterion problem of production planning of pipes and shaped products by K. V. Zakharchenkov, Zh. A. Mrochek, T. V. Mrochek

“…One of the modern directions of increase in economic efficiency of the enterprise is a production planning automation, including the automated scheduling of production. …”
Get full text

Construction of Analogy Indicator System and Machine-Learning-Based Optimization of Analogy Methods for Oilfield Development Projects by Muzhen Zhang, Zhanxiang Lei, Chengyun Yan, Baoquan Zeng, Fei Huang, Tailai Qu, Bin Wang, Li Fu

“…Oil and gas development is characterized by high technical complexity, strong interdisciplinarity, long investment cycles, and significant uncertainty. …”
Get full text

Hybrid precoding and power allocation for mmWave NOMA systems based on time delay line arrays by Gangcan SUN, Xinli WU, Wanming HAO, Zhengyu ZHU

“…Methods:To reduce inter-user interference,an improved K-means algorithm is proposed to group users and select a cluster head for each group of users, which maximizes the correlation of user channels in the same cluster and reduces the correlation between users in different clusters as much as possible;Then,a low-complexity analog precoding is designed to maximize the array gain of the antenna based on the relevant user channel matrix composed of the cluster head set, followed by a digital precoding designed to eliminate inter-user interference with the maximum equivalent channel gain between beams using a forced-zero technique; Finally, an EE maximization problem is formed to optimize the transmit power under users'quality of services and total transmit power constraints,and a two-layer iterative algorithm is proposed for the resulting non-convex optimization problem. …”
Get full text

Clinical application of metagenomic next-generation sequencing in etiologic diagnosis of severe pneumonia in adults by Zhen-Chuan Xing, Hua-Zheng Guo, Peng Zhen, Ting Ao, Ming Hu

“…Meanwhile, conventional methods were used for pathogen detection of blood, urine and throat swab specimens. The detection efficiencies of different methods were compared and the associated pathogen profiles were analyzed.ResultsAmong the 132 patients, there were 92 males and 40 females, with a total of 52 deaths. …”
Get full text