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66 articles for “Distribution shift”
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Improving Reliability of Deep Learning System Under Distribution Shift Via Feature-Space Out-of-Distribution Detection
Abstract: Deep learning systems achieve strong predictive performance under independently and identically distributed conditions; however, their reliability can decline significantly when exposed to distribution shifts during deployment. This decline is often accompanied by overconfident predictions, which can introduce serious risks in safety-critical applications. In this work, we explore whether explicitly modeling the structure of the latent feature space can improve reliability through more effective out-ofdistribution detection. A statistically grounded framework based …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 · pp. 66–76 Read article
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Tsetse Flies and African Trypanosomiasis: Biology, Epidemiology, and Integrated Vector Control.
Abstract: Tsetse flies (Glossina spp.) are hematophagous dipterans confined to sub-Saharan Africa and serve as cyclical vectors of human African trypanosomiasis (HAT) and African animal trypanosomiasis (AAT), with major implications for human health, livestock productivity, and rural development. An integrated understanding of tsetse biology, parasite transmission, climate, and land–use–driven distribution shifts, and the comparative performance of control tools—especially insecticides and sterile insect technique (SIT)—is essential for designing sustainable elimination strategies. HAT …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 21–28 Read article
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An Intelligent Complexity-Performance Tradeoff Model of Asynchronous Random Access Protocols in Distributed Edge Computing Using Software Science with Halstead
Abstract: The paradigm shift towards Distributed Edge Computing (DEC) has changed the entire world of the Internet of Things (IoT) connectivity to its core and has spawned the need to implement robust Asynchronous Random Access (ARA) protocols to deal with the contention between a huge range of diverse devices that are constrained by their resources. While there is now extensive optimization of these protocols in contemporary research for channel efficiency (throughput, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 Read article
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Ants in Ecosystems and Agriculture: A Comprehensive Review
Abstract: Nearly 60% of the world’s habitats are underutilized. And current agricultural practices are blamed for contributing to soil carbon depletion and biodiversity loss. Climate change, habitat fragmentation, and other challenges hinder species development, leading to projected shifts in species distribution. This calls for alternative management strategies. The organizational structure of social insects, especially ants, offers a model for improved ants account for half of all insect biomass. It plays an …
Published in International Journal of Insects · Vol. 1, Issue 2, 2024 · pp. 15–22 Read article
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Spike Detection and Processing of TDEM Signals using Wavelet Transform
Abstract: This paper presents a new method for spike detection, parameterization and processing in ground based Time Domain Electromagnetic (TDEM) signals. Time Domain Electromagnetic methods are used for mineral exploration by sub-surface conductivity measurement of Earth. The Earth’s response measured using inductive sensors are contaminated by spikes in form of sferics and due to load and phase shift in power distribution lines. The spikes present in the measured signal can significantly …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 82–92 Read article
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Analysis of Security in Cloud Computing
Abstract: These days, cloud computing is expanding quickly in the IT sector, offering a fresh approach to managing various information systems. The rapid pace of technological advancement highlights the importance of embracing and leveraging its advantages. Organizations transitioning to cloud-based information archiving demonstrate several key characteristics. These include enhanced IT infrastructure, the ability to manage remote access from any location in the world with a stable Internet connection, and the cost …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 35–40 Read article
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Analyze the Linux Performance in Network Management
Abstract: Computational models utilized for experiments in high-energy physics are progressively becoming globally distributed and grid based. This shift is driven by both technical factors, such as the proximity of computing and data resources and increased demand, as well as strategic considerations, including investment strategies. This transformation poses unprecedented challenges for network infrastructure, end systems, and computing and storage solutions. Among the significant challenges is the reliable and efficient transfer of …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 2, 2023 · pp. 20–28 Read article
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Climate-Driven Shifts in Vector-Borne Disease Ecology Across South Asia
Abstract: Climate change remains one of the most important phenomena affecting the geographical distribution and movement patterns of vector-borne diseases. In South Asia – characterized by high population density, rich biodiversity, and sharp climatic differences – there is growing evidence of the relationship between increasing temperatures and erratic precipitation, along with the behavior of insect vectors. This research aims to evaluate the effects of climate environmental changes on the distribution and …
Published in International Journal of Insects · Vol. 2, Issue 2, 2025 · pp. 1–5 Read article
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Computational Intelligent Techniques for Enhancing the Capabilities and Efficiency of Smart Water Meters
Abstract: In recent years, the realm of smart water meters has undergone a transformative evolution driven by the integration of computational intelligent techniques. This research work embarks on an exploration of the multifaceted applications of these techniques, delving into their profound impact on enhancing the functionality and efficiency of smart water meters. The convergence of artificial intelligence (AI) and machine learning (ML) algorithms with smart water meters presents a paradigm-shifting opportunity …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 66–74 Read article
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Potential Impacts of Climate Change on Insect Behavior
Abstract: Climate change is a major source of concern across the globe. It is being fueled by an increase in global mean temperature, an increase in atmospheric CO2 concentration, and an irregular shift in yearly precipitation. This will have a significant impact on the distribution, abundance, ecology, and behaviour of all species, and specifically insects, which are poikilothermic in nature. Insects will go through multiple life cycles as a result of …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 11, Issue 3, 2021 · pp. 29–35 Read article
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Comparative Study of Boost, Elementary LUO and Super Lift LUO Converters for MPPT Photovoltaic Using P and O and Inc Methods
Abstract: The current Power demand of both industrial and domestic sectors forcing them to shift from traditional power sources to the green sources like Solar and Wind. Distributed Generation systems using solar and wind have multi-fold benefits compared to the traditional power generation. The Electrical power drawn from these renewables sources using MPPT methods such as Perturb & Observe (P&O), and Incremental Conductance (INC) methods are examined in this paper for …
Published in Journal of Power Electronics and Power Systems · Vol. 12, Issue 3, 2022 · pp. 26–43 Read article
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Design and Validation of an Artificial Intelligence-Driven Digital Twin for Real-Time Monitoring and Control in Polymer Composite Manufacturing
Abstract: Polymer Matrix Composites (PMCs) have become indispensable in high-performance sectors such as aerospace and automotive engineering, offering exceptional strength-to-weight ratios that outperform traditional metals in many demanding applications. However, the reliability of manufacturing PMCs via Vacuum-Assisted Resin Transfer Molding (VARTM) is frequently undermined by stochastic process variabilities. Unpredictable fluctuations in thermal history, preform permeability, resin rheology, and ambient conditions often lead to some defects; namely voids, dry spots, and incomplete …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 224–233 Read article
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Accidental Eccentricity Demand of Educational Building due to Imposed Load Uncertainty
Abstract: AbstractIn this paper, the accidental eccentricity demand of an educational building due to live load uncertainty is worked out. The various occupancies of an educational building are imposed with suitable intensity of imposed load as per IS 875 provision and for different situations of these loads the maximum shift of centre of mass is evaluated. To define imposed load intensity, gamma probability distribution is used. The values of accidental eccentricity …
Published in Journal of Structural Engineering and Management · Vol. 5, Issue 1, 2018 · pp. 1–4 Read article
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Monitoring Aquatic Vegetation Distribution in Chilika Lagoon with G-tech
Abstract: Chilika Lagoon with a water spread area varies from 1,144 km2 of in the monsoon season to 780 km2 in the winter dry season (National Wetland Atlas, Orissa) of a large wetlands eco-system. The lagoon had been facing with different problems, like shifting of the mouth, decrease in salinity level, shrinkage of water spread area due to sedimentation, increasing the fresh water weeds etc. To monitor the aquatic vegetation distribution …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 3, Issue 1, 2014 · pp. 17–23 Read article
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Perspectives of Parents on Face to Face and Tele Therapy
Abstract: The mode of service delivery has undergone a revolutionary change post COVID-19. Tele therapy has gained wide recognition during this era. Tele therapy has several advantages over face-to-face therapy as constraints related to distance is minimized and even the cost of therapy is also minimal in this mode of service delivery. However, tele therapy has its own challenges when it comes to children with developmental disorder. The onus is expected …
Published in Research and Reviews: A Journal of Medicine · Vol. 12, Issue 2, 2022 · pp. 5–12 Read article
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Water Distribution and Analysis of Drainage Clot
Abstract: In urban regions the water supply to home and business foundations are given at a fixed stream rate. There are episodes of abundance water drawn by specific clients by associating engine siphon sets to the waterlines which is considered as water burglary. This paper manages the mechanization in the water dispersion and the executives with specialized gadget. The dimension of the water will be detected by the water level sensor. …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 2, 2019 · pp. 38–43 Read article
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E-rationing System Using Microcontroller, RFID and GSM
Abstract: These papers represent the Literature Survey on E-Rationing Systems reveals the pivotal role of microcontroller, RFID, and GSM integration in modernizing ration distribution. The system employs RFID tags for beneficiary identification, ensuring efficient tracking and authentication during ration distribution. A microcontroller manages data processing and inventory control, while GSM communication enables real-time updates and notifications to authorities and beneficiaries. The proposed system aims to enhance transparency, reduce manual errors, and …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 25–30 Read article
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DFT/Data Guided Predictive Modelling of Absorption Maxima in the OLED Rubrene Derivatives
Abstract: This study investigates the optical properties of rubrene derivatives to develop an accurate predictive model for absorption maxima using computational chemistry and chemoinformatic techniques. We benchmarked various quantum chemical methods, identifying that the M06-2X/aug-cc-pVDZ method in dichloromethane (DCM) provided the strongest correlation with experimental data. Key molecular descriptors such as band gap, ionization potential, and electrophilicity index were calculated and analyzed using principal component analysis (PCA) to identify significant factors …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 41–56 Read article
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Simulation Study of Process Variations in Double Gate Junctionless Field-Effect Transistors
Abstract: This work discusses the process variations in symmetrical double-gate (DG) junctionless (JL) field-effect transistors (FETs) by device simulation. Output I-V characteristics along with subthreshold slope increase, DIBL variations with drain voltage and threshold voltage shift variations are systematically analyzed with the general variability issues including oxide thickness, channel thickness and doping concentration. Potential distribution in the body channel region is also analyzed. Optimum values of the variability factors are considered …
Published in Journal of Semiconductor Devices and Circuits · Vol. 2, Issue 2, 2015 · pp. 18–27 Read article
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An Impact of Various Wireless Power Transfer Techniques
Abstract: Wireless power transfer is a technique through which the power is transmitted without any wired connection between the power supply source to the load-consuming source. The power transfer wireless technique is attracting various fields of subjects as a result much research is going on this technique and it’s a highly active research area currently due to its potential. The wireless power transfer can be achieved by various methods which are …
Published in Research & Reviews : Journal of Physics · Vol. 11, Issue 3, 2022 · pp. 14–20 Read article